ECE 468 / CS 519 Digital Image Processing. Introduction

Transcription

1 ECE 468 / CS 519 Digital Image Processing Introduction Prof. Sinisa Todorovic sinisa@eecs.oregonstate.edu

2 ECE 468: Digital Image Processing Instructor: Sinisa Todorovic Office: 2107 Kelley Engineering Center Office Hours: M 4-4:30pm, or by appointment Classes: MWF 3-3:50pm, KEC 1003 Class website:

3 Recommended Textbook Digital Image Processing by R.C. Gonzalez and R.E. Woods, 3rd edition, Pearson Prentice Hall, 2008 Additional readings on the class website

4 Suggested Readings Digital Image Processing Using MATLAB, by R.C. Gonzalez, R.E. Woods, and S. Eddins, 2nd edition, Pearson Prentice Hall, 2008

5 Course Objectives Cover basic theory and algorithms widely used in image processing Develop hands-on experience in processing images Familiarize with MATLAB Image Processing Toolbox Develop critical thinking about the state of the art

6 Prerequisites

7 Prerequisites Signals and systems: ECE 351 and ECE 352

8 Prerequisites Signals and systems: ECE 351 and ECE 352 Linear algebra Matrices, Matrix Operations Determinants, Systems of Linear Equations Eigenvalues, Eigenvectors

9 Prerequisites Signals and systems: ECE 351 and ECE 352 Linear algebra Matrices, Matrix Operations Determinants, Systems of Linear Equations Eigenvalues, Eigenvectors Statistics and probability Probability density function, Probability distribution Mean, variance, co-variance, correlation Priors, Posteriors, Likelihoods Gaussian distribution

10 Prerequisites Signals and systems: ECE 351 and ECE 352 Linear algebra Matrices, Matrix Operations Determinants, Systems of Linear Equations Eigenvalues, Eigenvectors Statistics and probability Probability density function, Probability distribution Mean, variance, co-variance, correlation Priors, Posteriors, Likelihoods Gaussian distribution Good programming skills

11 Requirements

12 Requirements Homework Turn-in a hard copy Homework = Problem solving or Mini-project Mini-project must be implemented in MATLAB Homework should be an individual effort Late homework will not be accepted without prior approval

13 Requirements Homework Turn-in a hard copy Homework = Problem solving or Mini-project Mini-project must be implemented in MATLAB Homework should be an individual effort Late homework will not be accepted without prior approval Graduate students will be given approximately 20% greater amount of work for homework assignments

14 Requirements

15 Requirements Exam 1 on November 4, 3-3:50pm, KEC 1003

16 Requirements Exam 1 on November 4, 3-3:50pm, KEC 1003 Exam 2 on December 4, 3-3:50pm, KEC 1003

17 Grading Policy Homework = 35% Exam 1 = 30% Exam 2 = 35% Bonus: Participation in class

18 Academic Honesty -- Examples of Cheating Bringing forbidden material or devices to the examination Working on the exam before or after the official time allowed Requesting a re-grade of work altered after the initial grading Submitting a homework that is not your own work

19 What is a Digital Image?

20 What is a Digital Image? row pixel x y column Two-dimensional function f(x,y) or matrix x, y, f(x,y) are discrete and finite Image size = maxx x maxy -- e.g. 640x480 Pixel intensity value f(x,y) [0, 255]

21 Pixel Values Source: DIP/3e

22 A Typical Digital Image Processing System input image processed image 3D world camera algorithms representations users problem understanding trade offs training data expert systems knowledge base

23 Sources of Energy for Image Formation Source: DIP/3e

24 Some Applications -- Medical Diagnostics Gamma-ray imaging X-ray imaging Source: DIP/3e

25 Some Applications -- Magnetic Resonance Imaging

26 Some Applications -- Microscopy Visible-light microscopy imaging Source: DIP/3e

27 Some Applications -- Industrial Inspection

28 Some Applications -- Remote Sensing Aerial images Satellite images

29 Some Applications -- Infrared Satellite Images Source: DIP/3e

30 Some Applications -- Storing Images Standard DVD Blue-ray DVD

31 Some Applications -- Transmitting Images Video conferencing

32 Some Applications -- Image Forensics

33 Fundamental Steps in Digital Image Processing

34 Fundamental Steps in Digital Image Processing Acquisition Spatial and frequency transforms Enhancement (subjective) Restoration (objective) Color processing Multi-resolution processing Compression Morphological processing Segmentation