DIGITAL IMAGE PROCESSING AND ANALYSIS

Size: px
Start display at page:

Download "DIGITAL IMAGE PROCESSING AND ANALYSIS"

Transcription

1 DIGITAL IMAGE PROCESSING AND ANALYSIS Human and Computer Vision Applications with CVIPtools SECOND EDITION SCOTT E UMBAUGH Uffi\ CRC Press Taylor &. Francis Group Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Group, an informa business

2 Contents Preface Acknowledgments Author xv xix xxi Section I Introduction to Digital Image Processing and Analysis 1. Digital Image Processing and Analysis Overview Image Analysis and Computer Vision Image Processing and Human Vision Key Points 12 Exercises 13 References 13 Further Reading Computer Imaging Systems Imaging Systems Overview Image Formation and Sensing Visible Light Imaging Imaging outside the Visible Range of the EM Spectrum Acoustic Imaging Electron Imaging Laser Imaging Computer-Generated Images CVIPtools Software Main Window Image Viewer Analysis Window Enhancement Window Restoration Window Compression Window Utilities Window Help Window Development Tools Image Representation Binary Images Gray-Scale Images Color Images Multispectral Images Digital Image File Formats Key Points 65 v

3 vi Contents Exercises 68 Problems 68 Programming Exercises 70 Supplementary Exercises 70 Supplementary Problems 70 Supplementary Programming Exercises 71 References 72 Further Reading 73 Section II Digital Image Analysis and Computer Vision 3. Introduction to Digital Image Analysis Introduction Overview System Model Preprocessing Region of Interest Image Geometry Arithmetic and Logic Operations Spatial Filters Image Quantization Binary Image Analysis Basic Image Thresholding Connectivity and Labeling Basic Binary Object Features Ill Binary Object Classification Key Points 125 Exercises 129 Problems 129 Programming Exercises 132 Supplementary Exercises 134 Supplementary Problems 134 Supplementary Programming Exercises 135 References 137 Further Reading Segmentation and Edge/Line Detection Introduction and Overview Edge/Line Detection Gradient Operators Compass Masks Advanced Edge Detectors Edges in Color Images Edge Detector Performance Hough Transform CVIPtools Parameters for the Hough Transform Corner Detection 185

4 Contents vii 4.3 Segmentation Region Growing and Shrinking Clustering Techniques Boundary Detection Combined Segmentation Approaches Morphological Filtering Key Points 236 Exercises 245 Problems 245 Programming Exercises 250 Supplementary Exercises 251 Supplementary Problems 251 Supplementary Programming Exercises 254 References 255 Further Reading Discrete Transforms Introduction and Overview Fourier Transform One-Dimensional Discrete Fourier Transform Two-Dimensional Discrete Fourier Transform Fourier Transform Properties Linearity Convolution Translation Modulation Rotation Periodicity Sampling and Aliasing Displaying the Discrete Fourier Spectrum Discrete Cosine Transform Discrete Walsh-Hadamard Transform Discrete Haar Transform Principal Components Transform Filtering Lowpass Filters Highpass Filters Bandpass and Bandreject Filters Discrete Wavelet Transform Key Points 315 Exercises 322 Problems 322 Programming Exercises 329 Supplementary Exercises 330 Supplementary Problems 330 Supplementary Programming Exercises 332 References 333 Further Reading 333

5 6. Feature Analysis and Pattern Classification Introduction and Overview Feature Extraction Shape Features Histogram Features Color Features Spectral Features Texture Features Feature Extraction with CVIPtools Feature Analysis Feature Vectors and Feature Spaces Distance and Similarity Measures Data Preprocessing Pattern Classification Algorithm Development: Training and Testing Methods Classification Algorithms and Methods Cost/Risk Functions and Success Measures Pattern Classification with CVIPtools Key Points 378 Exercises 387 Problems 387 Programming Exercises 391 Supplementary Exercises 395 Supplementary Problems 395 Supplementary Programming Exercises 397 References 398 Further Reading 399 Section HI Digital Image Processing and Human Vision 7. Digital Image Processing and Visual Perception Introduction and Overview Human Visual Perception Human Visual System Spatial Frequency Resolution Brightness Adaptation Temporal Resolution Perception and Illusion Image Fidelity Criteria Objective Fidelity Measures Subjective Fidelity Measures Key Points 432 Exercises 436 Problems 436 Programming Exercises 439 Supplementary Exercises 439 Supplementary Problems 439 Supplementary Programming Exercises 440

6 Contents ix References 441 Further Reading Image Enhancement Introduction and Overview Gray-Scale Modification Mapping Equations Histogram Modification Adaptive Contrast Enhancement Color Image Sharpening Highpass Filtering High Frequency Emphasis Directional Difference Filters Homomorphic Filtering Unsharp Masking Edge Detector-Based Sharpening Algorithms Image Smoothing Frequency Domain Lowpass Filtering Convolution Mask Lowpass Filtering Nonlinear Filtering Key Points 514 Exercises 521 Problems 521 Programming Exercises 527 Supplementary Exercises 529 Supplementary Problems 529 Supplementary Programming Exercises 530 References 531 Further Reading Image Restoration and Reconstruction Introduction and Overview System Model Noise Models Noise Histograms Periodic Noise Estimation of Noise Noise Removal Using Spatial Filters Order Filters Mean Filters Adaptive Filters Degradation Function Spatial Domain: Point Spread Function Frequency Domain: Modulation/Optical Transfer Function Estimation of the Degradation Function 576

7 X Contents 9.5 Frequency Domain Filters Inverse Filter Wiener Filter Constrained Least Squares Filter Geometrie Mean Filters Adaptive Filtering Bandpass, Bandreject, and Notch Filters Practical Considerations Geometrie Transforms Spatial Transforms Gray-Level Interpolation Geometric Restoration Procedure Geometric Restoration with CVIPtools Image Reconstruction Reconstruction Using Backprojections Radon Transform Fourier-Slice Theorem and Direct Fourier Reconstruction Key Points 611 Exercises 624 Problems 624 Programming Exercises 629 Supplementary Exercises 631 Supplementary Problems 631 Supplementary Programming Exercises 633 References 633 Further Reading Image Compression Introduction and Overview Compression System Model Lossless Compression Methods Huff man Coding Run-Length Coding Lempel-Ziv-Welch Coding Arithmetic Coding Lossy Compression Methods Gray-Level Run-Length Coding Block Truncation Coding Vector Quantization Differential Predictive Coding Model-Based and Fractal Compression Transform Coding Hybrid and Wavelet Methods Key Points 696 Exercises 702 Problems 702 Programming Exercises 707

8 Contents xi Supplementary Exercises 708 Supplementary Problems 708 Supplementary Programming Exercises 709 References 710 Further Reading 711 Section IV Programming and Application Development with CVIPtools 11. CVIPlab Introduction to CVIPlab Toolkits, Toolboxes, and Application Libraries Compiling and Linking CVIPlab How to Build the CVIPlab Project with Microsoft's Visual C Mechanics of Adding a Function with Microsoft's Visual C Using CVIPlab in the Programming Exercises with Microsoft's Visual C Using Microsoft's Visual C Image Data and File Structures CVIP Projects Digital Image Analysis and Computer Vision Projects Digital Image Processing and Human Vision Projects Application Development Introduction and Overview CVIP Algorithm Test and Analysis Tool Overview and Capabilities How to Use CVIP-ATAT Running CVIP-ATAT Creating a New Project Inserting Images Inputting an Algorithm Performing an Algorithm Test Run Comparing Images Application Development Example with Fundus Images Introduction and Overview New Algorithm Conclusion CVIP Feature Extraction and Pattern Classification Tool Overview and Capabilities How to Use CVIP-FEPC Running CVIP-FEPC Creating a New Project Entering Classes in CVIP-FEPC Adding Images and Associated Classes 763

9 xii Contents Applying Feature Extraction and Pattern Classification Running the Test Result File Application Development Example with Veterinary Thermographic Images Introduction and Overview Experiments Results Conclusion Skin Lesion Classification Using Relative Color Features Introduction and Project Overview Materials and Methods Image Database Creation of Relative Color Images Segmentation and Morphological Filtering Feature Extraction Lesion and Object Feature Spaces Establishing Statistical Models Experiments and Data Analysis Lesion Feature Space Object Feature Space Conclusions Automatic Segmentation of Blood Vessels in Retinal Images Introduction and Overview Materials and Methods Results Postprocessing with Hough Transform and Edge Linking Conclusion Classification of Land Types from Satellite Images Using Quadratic Discriminant Analysis and Multilayer Perceptrons Introduction and Overview Data Reduction and Feature Extraction Object Classification Results Conclusion Acknowledgments Watershed-Based Approach to Skin Lesion Border Segmentation Introduction Materials and Methods Experiments, Results, and Conclusions Faint Line Defect Detection in Microdisplay (CCD) Elements Introduction and Project Overview Design Methodology Line Detection Algorithm Preprocessing Edge Detection Analysis of the Hough Space Results and Discussion Summary and Conclusion 820

10 Contents xiii 12.9 Melanoma and Seborrheic Keratosis Differentiation Using Texture Features Introduction and Overview Materials and Methods Texture Analysis Experiments Results and Discussion Conclusion Acknowledgments Compression of Color Skin Tumor Images with Vector Quantization Introduction and Project Overview Materials and Methods Compression Schemes Subjective Evaluation of the Images Compression Schemes Preprocessing and Transforms Vector Quantization Postprocessing Results and Analysis Results and Analyses for the Schemes with Compression Ratio 4: Results and Analyses for the Schemes with Compression Ratio 8: Results and Analyses for the Schemes with Compression Ratio 14: Results and Analyses for the Schemes with Compression Ratio 20: Comprehensive Analysis of the Four Compression Ratios Conclusions and Future Work Acknowledgments 851 References CVIPtools C Function Libraries Introduction and Overview Arithmetic and Logic Library: ArithLogic.lib 855 Arithlogic Library Function Prototypes Band Image Library: Band.lib Color Image Library: Color.lib 856 Color Library Function Prototypes Compression Library: Compression.lib 857 Compression Library Function Prototypes Conversion Library: Conversion.lib 861 Conversion Library Function Prototypes Display Library: Display.lib Feature Extraction Library: Feature.lib 864 Feature Library Function Prototypes Geometry Library: Geometry.lib 867 Geometry Library Function Prototypes 867

11 xiv Contents Histogram Library: Histogram.lib 870 Histogram Library Function Prototypes Image Library: Image.lib Data Mapping Library: Mapping.lib Morphological Library: Morphological.lib 873 Morphological Library Function Prototypes Noise Library: Noise.lib 875 Noise Library Function Prototypes Segmentation Library: Segmentation.lib 876 Segmentation Library Function Prototypes Spatial Filter Library: SpatialFilter.lib 878 Spatial Filter Library Function Prototypes Transform Library: Transform.lib 884 Transform Library Function Prototypes Transform Filter Library: TransformFilter.lib 885 Transform Filter Library Function Prototypes 885 Section V Appendices Appendix A: CVIPtools CD 891 Appendix B: Installing and Updating CVIPtools 893 Appendix C: CVIPtools Software Organization 895 Appendix D: CVIPtools С Functions 897 D.l Toolkit Libraries 897 D.2 Toolbox Libraries 902 Appendix E: Common Object Module (COM) Functions: cviptools.dll 911 Appendix F: CVIP Resources 923 Index 927 :

Digital Image Processing

Digital Image Processing GONZ_FMv3.qxd 7/26/07 9:05 AM Page i Digital Image Processing Third Edition Rafael C. Gonzalez University of Tennessee Richard E. Woods MedData Interactive Upper Saddle River, NJ 07458 GONZ_FMv3.qxd 7/26/07

More information

Digital image processing

Digital image processing 746A27 Remote Sensing and GIS Lecture 4 Digital image processing Chandan Roy Guest Lecturer Department of Computer and Information Science Linköping University Digital Image Processing Most of the common

More information

Introduction to Robotics Analysis, Systems, Applications

Introduction to Robotics Analysis, Systems, Applications Introduction to Robotics Analysis, Systems, Applications Saeed B. Niku Mechanical Engineering Department California Polytechnic State University San Luis Obispo Technische Urw/carsMt Darmstadt FACHBEREfCH

More information

Customer and Business Analytic

Customer and Business Analytic Customer and Business Analytic Applied Data Mining for Business Decision Making Using R Daniel S. Putler Robert E. Krider CRC Press Taylor &. Francis Group Boca Raton London New York CRC Press is an imprint

More information

WAVES AND FIELDS IN INHOMOGENEOUS MEDIA

WAVES AND FIELDS IN INHOMOGENEOUS MEDIA WAVES AND FIELDS IN INHOMOGENEOUS MEDIA WENG CHO CHEW UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN IEEE PRESS Series on Electromagnetic Waves Donald G. Dudley, Series Editor IEEE Antennas and Propagation Society,

More information

Exploratory Data Analysis with MATLAB

Exploratory Data Analysis with MATLAB Computer Science and Data Analysis Series Exploratory Data Analysis with MATLAB Second Edition Wendy L Martinez Angel R. Martinez Jeffrey L. Solka ( r ec) CRC Press VV J Taylor & Francis Group Boca Raton

More information

Lectures 6&7: Image Enhancement

Lectures 6&7: Image Enhancement Lectures 6&7: Image Enhancement Leena Ikonen Pattern Recognition (MVPR) Lappeenranta University of Technology (LUT) leena.ikonen@lut.fi http://www.it.lut.fi/ip/research/mvpr/ 1 Content Background Spatial

More information

Admin stuff. 4 Image Pyramids. Spatial Domain. Projects. Fourier domain 2/26/2008. Fourier as a change of basis

Admin stuff. 4 Image Pyramids. Spatial Domain. Projects. Fourier domain 2/26/2008. Fourier as a change of basis Admin stuff 4 Image Pyramids Change of office hours on Wed 4 th April Mon 3 st March 9.3.3pm (right after class) Change of time/date t of last class Currently Mon 5 th May What about Thursday 8 th May?

More information

Sampling Theorem Notes. Recall: That a time sampled signal is like taking a snap shot or picture of signal periodically.

Sampling Theorem Notes. Recall: That a time sampled signal is like taking a snap shot or picture of signal periodically. Sampling Theorem We will show that a band limited signal can be reconstructed exactly from its discrete time samples. Recall: That a time sampled signal is like taking a snap shot or picture of signal

More information

The Role of SPOT Satellite Images in Mapping Air Pollution Caused by Cement Factories

The Role of SPOT Satellite Images in Mapping Air Pollution Caused by Cement Factories The Role of SPOT Satellite Images in Mapping Air Pollution Caused by Cement Factories Dr. Farrag Ali FARRAG Assistant Prof. at Civil Engineering Dept. Faculty of Engineering Assiut University Assiut, Egypt.

More information

EECS 556 Image Processing W 09. Interpolation. Interpolation techniques B splines

EECS 556 Image Processing W 09. Interpolation. Interpolation techniques B splines EECS 556 Image Processing W 09 Interpolation Interpolation techniques B splines What is image processing? Image processing is the application of 2D signal processing methods to images Image representation

More information

Quality Management. Theory and Application PETER D. MAUCH. Ltfi) CRC Press. \ V J Taylor & Francis Group. ^ ^ Boca Raton London New York

Quality Management. Theory and Application PETER D. MAUCH. Ltfi) CRC Press. \ V J Taylor & Francis Group. ^ ^ Boca Raton London New York Quality Management Theory and Application PETER D. MAUCH Ltfi) CRC Press \ V J Taylor & Francis Group ^ ^ Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Group, an Informa business

More information

Advanced Signal Processing and Digital Noise Reduction

Advanced Signal Processing and Digital Noise Reduction Advanced Signal Processing and Digital Noise Reduction Saeed V. Vaseghi Queen's University of Belfast UK WILEY HTEUBNER A Partnership between John Wiley & Sons and B. G. Teubner Publishers Chichester New

More information

THE COMPLETE PROJECT MANAGEMENT METHODOLOGY AND TOOLKIT

THE COMPLETE PROJECT MANAGEMENT METHODOLOGY AND TOOLKIT THE COMPLETE PROJECT MANAGEMENT METHODOLOGY AND TOOLKIT GERARD M. HILL CRC Press Taylor & Francis Group Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Croup, an informa business

More information

LIST OF CONTENTS CHAPTER CONTENT PAGE DECLARATION DEDICATION ACKNOWLEDGEMENTS ABSTRACT ABSTRAK

LIST OF CONTENTS CHAPTER CONTENT PAGE DECLARATION DEDICATION ACKNOWLEDGEMENTS ABSTRACT ABSTRAK vii LIST OF CONTENTS CHAPTER CONTENT PAGE DECLARATION DEDICATION ACKNOWLEDGEMENTS ABSTRACT ABSTRAK LIST OF CONTENTS LIST OF TABLES LIST OF FIGURES LIST OF NOTATIONS LIST OF ABBREVIATIONS LIST OF APPENDICES

More information

Modelling, Extraction and Description of Intrinsic Cues of High Resolution Satellite Images: Independent Component Analysis based approaches

Modelling, Extraction and Description of Intrinsic Cues of High Resolution Satellite Images: Independent Component Analysis based approaches Modelling, Extraction and Description of Intrinsic Cues of High Resolution Satellite Images: Independent Component Analysis based approaches PhD Thesis by Payam Birjandi Director: Prof. Mihai Datcu Problematic

More information

PARALLEL PROGRAMMING

PARALLEL PROGRAMMING PARALLEL PROGRAMMING TECHNIQUES AND APPLICATIONS USING NETWORKED WORKSTATIONS AND PARALLEL COMPUTERS 2nd Edition BARRY WILKINSON University of North Carolina at Charlotte Western Carolina University MICHAEL

More information

COMPARISON OF OBJECT BASED AND PIXEL BASED CLASSIFICATION OF HIGH RESOLUTION SATELLITE IMAGES USING ARTIFICIAL NEURAL NETWORKS

COMPARISON OF OBJECT BASED AND PIXEL BASED CLASSIFICATION OF HIGH RESOLUTION SATELLITE IMAGES USING ARTIFICIAL NEURAL NETWORKS COMPARISON OF OBJECT BASED AND PIXEL BASED CLASSIFICATION OF HIGH RESOLUTION SATELLITE IMAGES USING ARTIFICIAL NEURAL NETWORKS B.K. Mohan and S. N. Ladha Centre for Studies in Resources Engineering IIT

More information

Master of Science Graphics, Multimedia and Virtual Reality. Courses description

Master of Science Graphics, Multimedia and Virtual Reality. Courses description Master of Science Graphics, Multimedia and Virtual Reality Courses description Advanced graphics programming techniques The course presents methods for complex 3D scenes rendering using GPU advanced programming

More information

Introduction. Chapter 1

Introduction. Chapter 1 1 Chapter 1 Introduction Robotics and automation have undergone an outstanding development in the manufacturing industry over the last decades owing to the increasing demand for higher levels of productivity

More information

AN INTRODUCTION TO NUMERICAL METHODS AND ANALYSIS

AN INTRODUCTION TO NUMERICAL METHODS AND ANALYSIS AN INTRODUCTION TO NUMERICAL METHODS AND ANALYSIS Revised Edition James Epperson Mathematical Reviews BICENTENNIAL 0, 1 8 0 7 z ewiley wu 2007 r71 BICENTENNIAL WILEY-INTERSCIENCE A John Wiley & Sons, Inc.,

More information

Sachin Patel HOD I.T Department PCST, Indore, India. Parth Bhatt I.T Department, PCST, Indore, India. Ankit Shah CSE Department, KITE, Jaipur, India

Sachin Patel HOD I.T Department PCST, Indore, India. Parth Bhatt I.T Department, PCST, Indore, India. Ankit Shah CSE Department, KITE, Jaipur, India Image Enhancement Using Various Interpolation Methods Parth Bhatt I.T Department, PCST, Indore, India Ankit Shah CSE Department, KITE, Jaipur, India Sachin Patel HOD I.T Department PCST, Indore, India

More information

CHAPTER 2 LITERATURE REVIEW

CHAPTER 2 LITERATURE REVIEW 11 CHAPTER 2 LITERATURE REVIEW 2.1 INTRODUCTION Image compression is mainly used to reduce storage space, transmission time and bandwidth requirements. In the subsequent sections of this chapter, general

More information

Aliasing, Image Sampling and Reconstruction

Aliasing, Image Sampling and Reconstruction Aliasing, Image Sampling and Reconstruction Recall: a pixel is a point It is NOT a box, disc or teeny wee light It has no dimension It occupies no area It can have a coordinate More than a point, it is

More information

JPEG Image Compression by Using DCT

JPEG Image Compression by Using DCT International Journal of Computer Sciences and Engineering Open Access Research Paper Volume-4, Issue-4 E-ISSN: 2347-2693 JPEG Image Compression by Using DCT Sarika P. Bagal 1* and Vishal B. Raskar 2 1*

More information

Engineering Design. Software. Theory and Practice. Carlos E. Otero. CRC Press. Taylor & Francis Croup. Taylor St Francis Croup, an Informa business

Engineering Design. Software. Theory and Practice. Carlos E. Otero. CRC Press. Taylor & Francis Croup. Taylor St Francis Croup, an Informa business Software Engineering Design Theory and Practice Carlos E. Otero CRC Press Taylor & Francis Croup Boca Raton London New York CRC Press is an imprint of the Taylor St Francis Croup, an Informa business AN

More information

SOFTWARE TESTING AS A SERVICE

SOFTWARE TESTING AS A SERVICE SOFTWARE TESTING AS A SERVICE ASHFAQUE AHMED (g) CRC Press Taylor & Francis Croup Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Group, an informa business AN AUERBACH BOOK

More information

Readings in Image Processing

Readings in Image Processing OVERVIEW OF IMAGE PROCESSING K.M.M. Rao*,Deputy Director,NRSA,Hyderabad-500 037 Introduction Image Processing is a technique to enhance raw images received from cameras/sensors placed on satellites, space

More information

Basic Image Processing (using ImageJ)

Basic Image Processing (using ImageJ) Basic Image Processing (using ImageJ) Dr. Arne Seitz Swiss Institute of Technology (EPFL) Faculty of Life Sciences Head of BIOIMAGING AND OPTICS BIOP arne.seitz@epfl.ch Overview File formats (data storage)

More information

Development and Management

Development and Management Cloud Database Development and Management Lee Chao CRC Press Taylor & Francis Group Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Croup, an Informa business AN AUERBACH BOOK

More information

Data Visualization. Principles and Practice. Second Edition. Alexandru Telea

Data Visualization. Principles and Practice. Second Edition. Alexandru Telea Data Visualization Principles and Practice Second Edition Alexandru Telea First edition published in 2007 by A K Peters, Ltd. Cover image: The cover shows the combination of scientific visualization and

More information

Analecta Vol. 8, No. 2 ISSN 2064-7964

Analecta Vol. 8, No. 2 ISSN 2064-7964 EXPERIMENTAL APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS IN ENGINEERING PROCESSING SYSTEM S. Dadvandipour Institute of Information Engineering, University of Miskolc, Egyetemváros, 3515, Miskolc, Hungary,

More information

Mining. Practical. Data. Monte F. Hancock, Jr. Chief Scientist, Celestech, Inc. CRC Press. Taylor & Francis Group

Mining. Practical. Data. Monte F. Hancock, Jr. Chief Scientist, Celestech, Inc. CRC Press. Taylor & Francis Group Practical Data Mining Monte F. Hancock, Jr. Chief Scientist, Celestech, Inc. CRC Press Taylor & Francis Group Boca Raton London New York CRC Press is an imprint of the Taylor Ei Francis Group, an Informs

More information

Numerical Methods for Engineers

Numerical Methods for Engineers Steven C. Chapra Berger Chair in Computing and Engineering Tufts University RaymondP. Canale Professor Emeritus of Civil Engineering University of Michigan Numerical Methods for Engineers With Software

More information

Personal Identity Verification (PIV) IMAGE QUALITY SPECIFICATIONS FOR SINGLE FINGER CAPTURE DEVICES

Personal Identity Verification (PIV) IMAGE QUALITY SPECIFICATIONS FOR SINGLE FINGER CAPTURE DEVICES Personal Identity Verification (PIV) IMAGE QUALITY SPECIFICATIONS FOR SINGLE FINGER CAPTURE DEVICES 1.0 SCOPE AND PURPOSE These specifications apply to fingerprint capture devices which scan and capture

More information

Linear Filtering Part II

Linear Filtering Part II Linear Filtering Part II Selim Aksoy Department of Computer Engineering Bilkent University saksoy@cs.bilkent.edu.tr Fourier theory Jean Baptiste Joseph Fourier had a crazy idea: Any periodic function can

More information

Image Segmentation and Registration

Image Segmentation and Registration Image Segmentation and Registration Dr. Christine Tanner (tanner@vision.ee.ethz.ch) Computer Vision Laboratory, ETH Zürich Dr. Verena Kaynig, Machine Learning Laboratory, ETH Zürich Outline Segmentation

More information

Glencoe. correlated to SOUTH CAROLINA MATH CURRICULUM STANDARDS GRADE 6 3-3, 5-8 8-4, 8-7 1-6, 4-9

Glencoe. correlated to SOUTH CAROLINA MATH CURRICULUM STANDARDS GRADE 6 3-3, 5-8 8-4, 8-7 1-6, 4-9 Glencoe correlated to SOUTH CAROLINA MATH CURRICULUM STANDARDS GRADE 6 STANDARDS 6-8 Number and Operations (NO) Standard I. Understand numbers, ways of representing numbers, relationships among numbers,

More information

SUCCESSFUL PREDICTION OF HORSE RACING RESULTS USING A NEURAL NETWORK

SUCCESSFUL PREDICTION OF HORSE RACING RESULTS USING A NEURAL NETWORK SUCCESSFUL PREDICTION OF HORSE RACING RESULTS USING A NEURAL NETWORK N M Allinson and D Merritt 1 Introduction This contribution has two main sections. The first discusses some aspects of multilayer perceptrons,

More information

Data Mining: Concepts and Techniques. Jiawei Han. Micheline Kamber. Simon Fräser University К MORGAN KAUFMANN PUBLISHERS. AN IMPRINT OF Elsevier

Data Mining: Concepts and Techniques. Jiawei Han. Micheline Kamber. Simon Fräser University К MORGAN KAUFMANN PUBLISHERS. AN IMPRINT OF Elsevier Data Mining: Concepts and Techniques Jiawei Han Micheline Kamber Simon Fräser University К MORGAN KAUFMANN PUBLISHERS AN IMPRINT OF Elsevier Contents Foreword Preface xix vii Chapter I Introduction I I.

More information

Digital Image. Processing. Alpha. Science International Ltd. Oxford, U.K. S. K. Ghosh

Digital Image. Processing. Alpha. Science International Ltd. Oxford, U.K. S. K. Ghosh Digital Image Processing S. K. Ghosh Alpha Science International Ltd. Oxford, U.K. Preface Acknowledgement List offigures List of Tables vii ix xix xxiii 1. Concept of Images 1.1 1.1 Introduction 1.1 1.2

More information

RF SYSTEM DESIGN OF TRANSCEIVERS FOR WIRELESS COMMUNICATIONS

RF SYSTEM DESIGN OF TRANSCEIVERS FOR WIRELESS COMMUNICATIONS RF SYSTEM DESIGN OF TRANSCEIVERS FOR WIRELESS COMMUNICATIONS Qizheng Gu Nokia Mobile Phones, Inc. 4y Springer Contents Preface xiii Chapter 1. Introduction 1 1.1. Wireless Systems 1 1.1.1. Mobile Communications

More information

Improving Business Process Performance

Improving Business Process Performance Improving Business Process Performance Gain Agility, Create Value, and Achieve Success JOSEPH RAYNUS CRC Press Taylor & Francis Croup Boca Raton London New York CRC Press is an imprint of the Taylor &

More information

Automatic 3D Reconstruction via Object Detection and 3D Transformable Model Matching CS 269 Class Project Report

Automatic 3D Reconstruction via Object Detection and 3D Transformable Model Matching CS 269 Class Project Report Automatic 3D Reconstruction via Object Detection and 3D Transformable Model Matching CS 69 Class Project Report Junhua Mao and Lunbo Xu University of California, Los Angeles mjhustc@ucla.edu and lunbo

More information

SECOND EDITION THE SECURITY RISK ASSESSMENT HANDBOOK. A Complete Guide for Performing Security Risk Assessments DOUGLAS J. LANDOLL

SECOND EDITION THE SECURITY RISK ASSESSMENT HANDBOOK. A Complete Guide for Performing Security Risk Assessments DOUGLAS J. LANDOLL SECOND EDITION THE SECURITY RISK ASSESSMENT HANDBOOK A Complete Guide for Performing Security Risk Assessments DOUGLAS J. LANDOLL CRC Press Taylor & Francis Group Boca Raton London New York CRC Press is

More information

Introduction to Medical Imaging. Lecture 11: Cone-Beam CT Theory. Introduction. Available cone-beam reconstruction methods: Our discussion:

Introduction to Medical Imaging. Lecture 11: Cone-Beam CT Theory. Introduction. Available cone-beam reconstruction methods: Our discussion: Introduction Introduction to Medical Imaging Lecture 11: Cone-Beam CT Theory Klaus Mueller Available cone-beam reconstruction methods: exact approximate algebraic Our discussion: exact (now) approximate

More information

Univariate and Multivariate Methods PEARSON. Addison Wesley

Univariate and Multivariate Methods PEARSON. Addison Wesley Time Series Analysis Univariate and Multivariate Methods SECOND EDITION William W. S. Wei Department of Statistics The Fox School of Business and Management Temple University PEARSON Addison Wesley Boston

More information

Face detection is a process of localizing and extracting the face region from the

Face detection is a process of localizing and extracting the face region from the Chapter 4 FACE NORMALIZATION 4.1 INTRODUCTION Face detection is a process of localizing and extracting the face region from the background. The detected face varies in rotation, brightness, size, etc.

More information

Some elements of photo. interpretation

Some elements of photo. interpretation Some elements of photo Shape Size Pattern Color (tone, hue) Texture Shadows Site Association interpretation Olson, C. E., Jr. 1960. Elements of photographic interpretation common to several sensors. Photogrammetric

More information

A BRIEF STUDY OF VARIOUS NOISE MODEL AND FILTERING TECHNIQUES

A BRIEF STUDY OF VARIOUS NOISE MODEL AND FILTERING TECHNIQUES Volume 4, No. 4, April 2013 Journal of Global Research in Computer Science REVIEW ARTICLE Available Online at www.jgrcs.info A BRIEF STUDY OF VARIOUS NOISE MODEL AND FILTERING TECHNIQUES Priyanka Kamboj

More information

Next Generation Artificial Vision Systems

Next Generation Artificial Vision Systems Next Generation Artificial Vision Systems Reverse Engineering the Human Visual System Anil Bharath Maria Petrou Imperial College London ARTECH H O U S E BOSTON LONDON artechhouse.com Contents Preface xiii

More information

Comparison of different image compression formats. ECE 533 Project Report Paula Aguilera

Comparison of different image compression formats. ECE 533 Project Report Paula Aguilera Comparison of different image compression formats ECE 533 Project Report Paula Aguilera Introduction: Images are very important documents nowadays; to work with them in some applications they need to be

More information

Cloud Computing. and Scheduling. Data-Intensive Computing. Frederic Magoules, Jie Pan, and Fei Teng SILKQH. CRC Press. Taylor & Francis Group

Cloud Computing. and Scheduling. Data-Intensive Computing. Frederic Magoules, Jie Pan, and Fei Teng SILKQH. CRC Press. Taylor & Francis Group Cloud Computing Data-Intensive Computing and Scheduling Frederic Magoules, Jie Pan, and Fei Teng SILKQH CRC Press Taylor & Francis Group Boca Raton London New York CRC Press is an imprint of the Taylor

More information

Lecture 14. Point Spread Function (PSF)

Lecture 14. Point Spread Function (PSF) Lecture 14 Point Spread Function (PSF), Modulation Transfer Function (MTF), Signal-to-noise Ratio (SNR), Contrast-to-noise Ratio (CNR), and Receiver Operating Curves (ROC) Point Spread Function (PSF) Recollect

More information

Multiscale Object-Based Classification of Satellite Images Merging Multispectral Information with Panchromatic Textural Features

Multiscale Object-Based Classification of Satellite Images Merging Multispectral Information with Panchromatic Textural Features Remote Sensing and Geoinformation Lena Halounová, Editor not only for Scientific Cooperation EARSeL, 2011 Multiscale Object-Based Classification of Satellite Images Merging Multispectral Information with

More information

Networking. Systems Design and. Development. CRC Press. Taylor & Francis Croup. Boca Raton London New York. CRC Press is an imprint of the

Networking. Systems Design and. Development. CRC Press. Taylor & Francis Croup. Boca Raton London New York. CRC Press is an imprint of the Networking Systems Design and Development Lee Chao CRC Press Taylor & Francis Croup Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Croup, an Informa business AN AUERBACH BOOK

More information

Management. Project. Software. Ashfaque Ahmed. A Process-Driven Approach. CRC Press. Taylor Si Francis Group Boca Raton London New York

Management. Project. Software. Ashfaque Ahmed. A Process-Driven Approach. CRC Press. Taylor Si Francis Group Boca Raton London New York Software Project Management A Process-Driven Approach Ashfaque Ahmed CRC Press Taylor Si Francis Group Boca Raton London New York CRC Press is an imprint of the Taylor St Francis Croup, an Informa business

More information

jorge s. marques image processing

jorge s. marques image processing image processing images images: what are they? what is shown in this image? What is this? what is an image images describe the evolution of physical variables (intensity, color, reflectance, condutivity)

More information

Robert Collins CSE598G. More on Mean-shift. R.Collins, CSE, PSU CSE598G Spring 2006

Robert Collins CSE598G. More on Mean-shift. R.Collins, CSE, PSU CSE598G Spring 2006 More on Mean-shift R.Collins, CSE, PSU Spring 2006 Recall: Kernel Density Estimation Given a set of data samples x i ; i=1...n Convolve with a kernel function H to generate a smooth function f(x) Equivalent

More information

A Simulation-Based lntroduction Using Excel

A Simulation-Based lntroduction Using Excel Quantitative Finance A Simulation-Based lntroduction Using Excel Matt Davison University of Western Ontario London, Canada CRC Press Taylor & Francis Croup Boca Raton London New York CRC Press is an imprint

More information

Supervised Classification workflow in ENVI 4.8 using WorldView-2 imagery

Supervised Classification workflow in ENVI 4.8 using WorldView-2 imagery Supervised Classification workflow in ENVI 4.8 using WorldView-2 imagery WorldView-2 is the first commercial high-resolution satellite to provide eight spectral sensors in the visible to near-infrared

More information

CS 591.03 Introduction to Data Mining Instructor: Abdullah Mueen

CS 591.03 Introduction to Data Mining Instructor: Abdullah Mueen CS 591.03 Introduction to Data Mining Instructor: Abdullah Mueen LECTURE 3: DATA TRANSFORMATION AND DIMENSIONALITY REDUCTION Chapter 3: Data Preprocessing Data Preprocessing: An Overview Data Quality Major

More information

Big Ideas in Mathematics

Big Ideas in Mathematics Big Ideas in Mathematics which are important to all mathematics learning. (Adapted from the NCTM Curriculum Focal Points, 2006) The Mathematics Big Ideas are organized using the PA Mathematics Standards

More information

NEURAL NETWORK FUNDAMENTALS WITH GRAPHS, ALGORITHMS, AND APPLICATIONS

NEURAL NETWORK FUNDAMENTALS WITH GRAPHS, ALGORITHMS, AND APPLICATIONS NEURAL NETWORK FUNDAMENTALS WITH GRAPHS, ALGORITHMS, AND APPLICATIONS N. K. Bose HRB-Systems Professor of Electrical Engineering The Pennsylvania State University, University Park P. Liang Associate Professor

More information

Information Technology and Organizational Learning

Information Technology and Organizational Learning Information Technology and Organizational Learning Managing Behavioral Change through Technology and Education Second Edition Arthur M. Langer CRC Press Taylor & Francis Group Boca Raton London New York

More information

Simultaneous Gamma Correction and Registration in the Frequency Domain

Simultaneous Gamma Correction and Registration in the Frequency Domain Simultaneous Gamma Correction and Registration in the Frequency Domain Alexander Wong a28wong@uwaterloo.ca William Bishop wdbishop@uwaterloo.ca Department of Electrical and Computer Engineering University

More information

58 A Survey of Image Processing Software and Image Databases

58 A Survey of Image Processing Software and Image Databases Reeves, S.J. A Survey of Image Processing Software and Image Databases Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. Williams Boca Raton: CRC Press LLC, 1999 c 1999byCRCPressLLC

More information

RESILIENT. SECURE and SOFTWARE. Requirements, Test Cases, and Testing Methods. Mark S. Merkow and Lakshmikanth Raghavan. CRC Press

RESILIENT. SECURE and SOFTWARE. Requirements, Test Cases, and Testing Methods. Mark S. Merkow and Lakshmikanth Raghavan. CRC Press SECURE and RESILIENT SOFTWARE Requirements, Test Cases, and Testing Methods Mark S. Merkow and Lakshmikanth Raghavan CRC Press Taylor & Francis Group Boca Raton London New York CRC Press Is an imprint

More information

Enhanced LIC Pencil Filter

Enhanced LIC Pencil Filter Enhanced LIC Pencil Filter Shigefumi Yamamoto, Xiaoyang Mao, Kenji Tanii, Atsumi Imamiya University of Yamanashi {daisy@media.yamanashi.ac.jp, mao@media.yamanashi.ac.jp, imamiya@media.yamanashi.ac.jp}

More information

An Experimental Study of the Performance of Histogram Equalization for Image Enhancement

An Experimental Study of the Performance of Histogram Equalization for Image Enhancement International Journal of Computer Sciences and Engineering Open Access Research Paper Volume-4, Special Issue-2, April 216 E-ISSN: 2347-2693 An Experimental Study of the Performance of Histogram Equalization

More information

A deterministic fractal is an image which has low information content and no inherent scale.

A deterministic fractal is an image which has low information content and no inherent scale. FRACTAL IMAGE COMPRESSION: A RESOLUTION INDEPENDENT REPRESENTATION FOR IMAGER?? Alan D. Sloan 5550 Peachtree Parkway Iterated Systems, Inc. Norcross, Georgia 30092 1. Background A deterministic fractal

More information

Networking. Cloud and Virtual. Data Storage. Greg Schulz. Your journey. effective information services. to efficient and.

Networking. Cloud and Virtual. Data Storage. Greg Schulz. Your journey. effective information services. to efficient and. Cloud and Virtual Data Storage Networking Your journey to efficient and effective information services Greg Schulz CRC Press Taylor & Francis Group Boca Raton London New York CRC Press is an imprint of

More information

Prentice Hall Algebra 2 2011 Correlated to: Colorado P-12 Academic Standards for High School Mathematics, Adopted 12/2009

Prentice Hall Algebra 2 2011 Correlated to: Colorado P-12 Academic Standards for High School Mathematics, Adopted 12/2009 Content Area: Mathematics Grade Level Expectations: High School Standard: Number Sense, Properties, and Operations Understand the structure and properties of our number system. At their most basic level

More information

A Study on SURF Algorithm and Real-Time Tracking Objects Using Optical Flow

A Study on SURF Algorithm and Real-Time Tracking Objects Using Optical Flow , pp.233-237 http://dx.doi.org/10.14257/astl.2014.51.53 A Study on SURF Algorithm and Real-Time Tracking Objects Using Optical Flow Giwoo Kim 1, Hye-Youn Lim 1 and Dae-Seong Kang 1, 1 Department of electronices

More information

Implementation. Business-Driven IT-Wide Agile (Scrum) and Kanban (Lean) Andrew T. Pham and David K. Pham. An Action Guide for Business and IT Leaders

Implementation. Business-Driven IT-Wide Agile (Scrum) and Kanban (Lean) Andrew T. Pham and David K. Pham. An Action Guide for Business and IT Leaders Business-Driven IT-Wide Agile (Scrum) and Kanban (Lean) Implementation An Action Guide for Business and IT Leaders Andrew T. Pham and David K. Pham Foreword by Jack Bergstrand, Former CFO of the Coca-Cola

More information

Bildverarbeitung und Mustererkennung Image Processing and Pattern Recognition

Bildverarbeitung und Mustererkennung Image Processing and Pattern Recognition Bildverarbeitung und Mustererkennung Image Processing and Pattern Recognition 1. Image Pre-Processing - Pixel Brightness Transformation - Geometric Transformation - Image Denoising 1 1. Image Pre-Processing

More information

A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization

A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization Ángela Blanco Universidad Pontificia de Salamanca ablancogo@upsa.es Spain Manuel Martín-Merino Universidad

More information

ENG4BF3 Medical Image Processing. Image Visualization

ENG4BF3 Medical Image Processing. Image Visualization ENG4BF3 Medical Image Processing Image Visualization Visualization Methods Visualization of medical images is for the determination of the quantitative information about the properties of anatomic tissues

More information

Edge detection. (Trucco, Chapt 4 AND Jain et al., Chapt 5) -Edges are significant local changes of intensity in an image.

Edge detection. (Trucco, Chapt 4 AND Jain et al., Chapt 5) -Edges are significant local changes of intensity in an image. Edge detection (Trucco, Chapt 4 AND Jain et al., Chapt 5) Definition of edges -Edges are significant local changes of intensity in an image. -Edges typically occur on the boundary between two different

More information

DYNAMIC FUZZY PATTERN RECOGNITION WITH APPLICATIONS TO FINANCE AND ENGINEERING LARISA ANGSTENBERGER

DYNAMIC FUZZY PATTERN RECOGNITION WITH APPLICATIONS TO FINANCE AND ENGINEERING LARISA ANGSTENBERGER DYNAMIC FUZZY PATTERN RECOGNITION WITH APPLICATIONS TO FINANCE AND ENGINEERING LARISA ANGSTENBERGER Kluwer Academic Publishers Boston/Dordrecht/London TABLE OF CONTENTS FOREWORD ACKNOWLEDGEMENTS XIX XXI

More information

Advanced visualization with VisNow platform Case study #2 3D scalar data visualization

Advanced visualization with VisNow platform Case study #2 3D scalar data visualization Advanced visualization with VisNow platform Case study #2 3D scalar data visualization This work is licensed under a Creative Commons Attribution- NonCommercial-NoDerivatives 4.0 International License.

More information

A Correlation of Pearson Texas Geometry Digital, 2015

A Correlation of Pearson Texas Geometry Digital, 2015 A Correlation of Pearson Texas Geometry Digital, 2015 To the Texas Essential Knowledge and Skills (TEKS) for Geometry, High School, and the Texas English Language Proficiency Standards (ELPS) Correlations

More information

RUN-LENGTH ENCODING FOR VOLUMETRIC TEXTURE

RUN-LENGTH ENCODING FOR VOLUMETRIC TEXTURE RUN-LENGTH ENCODING FOR VOLUMETRIC TEXTURE Dong-Hui Xu, Arati S. Kurani, Jacob D. Furst, Daniela S. Raicu Intelligent Multimedia Processing Laboratory, School of Computer Science, Telecommunications, and

More information

A Secure File Transfer based on Discrete Wavelet Transformation and Audio Watermarking Techniques

A Secure File Transfer based on Discrete Wavelet Transformation and Audio Watermarking Techniques A Secure File Transfer based on Discrete Wavelet Transformation and Audio Watermarking Techniques Vineela Behara,Y Ramesh Department of Computer Science and Engineering Aditya institute of Technology and

More information

Raster Data Structures

Raster Data Structures Raster Data Structures Tessellation of Geographical Space Geographical space can be tessellated into sets of connected discrete units, which completely cover a flat surface. The units can be in any reasonable

More information

A Flexible Suite of Software Tools for Medical Image Analysis

A Flexible Suite of Software Tools for Medical Image Analysis A Flexible Suite of Software Tools for Medical Image Analysis Alexander Nedzved United Institute of Informatics Problems of the National Academy of Sciences of Belarus Minsk, Belarus Nedzveda@tut.by Valery

More information

NEURAL NETWORKS A Comprehensive Foundation

NEURAL NETWORKS A Comprehensive Foundation NEURAL NETWORKS A Comprehensive Foundation Second Edition Simon Haykin McMaster University Hamilton, Ontario, Canada Prentice Hall Prentice Hall Upper Saddle River; New Jersey 07458 Preface xii Acknowledgments

More information

Introduction to Pattern Recognition

Introduction to Pattern Recognition Introduction to Pattern Recognition Selim Aksoy Department of Computer Engineering Bilkent University saksoy@cs.bilkent.edu.tr CS 551, Spring 2009 CS 551, Spring 2009 c 2009, Selim Aksoy (Bilkent University)

More information

METHODS IN MEDICAL INFORMATICS

METHODS IN MEDICAL INFORMATICS Chapman & Hall/CRC Mathematical and Computational Biology Series METHODS IN MEDICAL INFORMATICS Fundamentals of Healthcare Programming in Perln Pythoni and Ruby Jules J- Berman TECHNISCHE INFORMATION SBIBLIOTHEK

More information

Algebra I Credit Recovery

Algebra I Credit Recovery Algebra I Credit Recovery COURSE DESCRIPTION: The purpose of this course is to allow the student to gain mastery in working with and evaluating mathematical expressions, equations, graphs, and other topics,

More information

SIGNATURE VERIFICATION

SIGNATURE VERIFICATION SIGNATURE VERIFICATION Dr. H.B.Kekre, Dr. Dhirendra Mishra, Ms. Shilpa Buddhadev, Ms. Bhagyashree Mall, Mr. Gaurav Jangid, Ms. Nikita Lakhotia Computer engineering Department, MPSTME, NMIMS University

More information

Efficient Storage, Compression and Transmission

Efficient Storage, Compression and Transmission Efficient Storage, Compression and Transmission of Complex 3D Models context & problem definition general framework & classification our new algorithm applications for digital documents Mesh Decimation

More information

Extraction of Satellite Image using Particle Swarm Optimization

Extraction of Satellite Image using Particle Swarm Optimization Extraction of Satellite Image using Particle Swarm Optimization Er.Harish Kundra Assistant Professor & Head Rayat Institute of Engineering & IT, Railmajra, Punjab,India. Dr. V.K.Panchal Director, DTRL,DRDO,

More information

Optical Metrology. Third Edition. Kjell J. Gasvik Spectra Vision AS, Trondheim, Norway JOHN WILEY & SONS, LTD

Optical Metrology. Third Edition. Kjell J. Gasvik Spectra Vision AS, Trondheim, Norway JOHN WILEY & SONS, LTD 2008 AGI-Information Management Consultants May be used for personal purporses only or by libraries associated to dandelon.com network. Optical Metrology Third Edition Kjell J. Gasvik Spectra Vision AS,

More information

Introduction to Financial Models for Management and Planning

Introduction to Financial Models for Management and Planning CHAPMAN &HALL/CRC FINANCE SERIES Introduction to Financial Models for Management and Planning James R. Morris University of Colorado, Denver U. S. A. John P. Daley University of Colorado, Denver U. S.

More information

Colorado School of Mines Computer Vision Professor William Hoff

Colorado School of Mines Computer Vision Professor William Hoff Professor William Hoff Dept of Electrical Engineering &Computer Science http://inside.mines.edu/~whoff/ 1 Introduction to 2 What is? A process that produces from images of the external world a description

More information

Determining the Resolution of Scanned Document Images

Determining the Resolution of Scanned Document Images Presented at IS&T/SPIE EI 99, Conference 3651, Document Recognition and Retrieval VI Jan 26-28, 1999, San Jose, CA. Determining the Resolution of Scanned Document Images Dan S. Bloomberg Xerox Palo Alto

More information

Chapter Contents Page No

Chapter Contents Page No Chapter Contents Page No Preface Acknowledgement 1 Basics of Remote Sensing 1 1.1. Introduction 1 1.2. Definition of Remote Sensing 1 1.3. Principles of Remote Sensing 1 1.4. Various Stages in Remote Sensing

More information