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ECE 468 / CS 519 Digital Image Processing Introduction

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

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ECE 468: Digital Image Processing
? Instructor:
Sinisa Todorovic sinisa@oregonstate.edu
? Office:
2107 Kelley Engineering Center
? Office Hours:
Tuesday 2:30-3PM, or by appointment
? Classes:
MWF 2-2:50pm, BAT 144
? Class website:
http://web.engr.oregonstate.edu/~sinisa/courses/OSU/ECE468/ECE468.html

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Recommended Textbook
? “Digital Image Processing” by R.C. Gonzalez and R.E. Woods,
4th edition, Pearson Prentice Hall, 2018
? Additional readings on the class website

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Suggested Readings
? “Digital Image Processing Using MATLAB,” by R.C. Gonzalez,
R.E. Woods, and S. Eddins, 2nd edition, Pearson Prentice Hall, 2009

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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

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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

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Requirements
? Homework
? Turn-in a hard copy ? Homework = 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

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Requirements
? Midterm on November 6, 2-2:50pm, BAT 144 ? Final on December 5, 12-1:30pm, BAT 144
Exams will be closed-book.

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Grading Policy
? Homework = 20% ? Midterm Exam = 35% ? Final Exam = 45%

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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

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

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What is a Digital Image?

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Pixel Values
Source: DIP/3e

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What is a Digital Image?
? 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]
y x column row pixel

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Visible Spectrum of EM

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Based on Psychophysical Studies
? Cones in the human eye
? red (R) 65% ? green (G) 33% ? blue (B) 2%
? R = 700nm ? G = 546.1nm ? B = 435.8nm ? Color = combination of primary colors R, G, B

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Color Model = Color System = Color Space
? Purpose: To facilitate specification of colors ? RGB color model

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

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

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Some Applications -- Magnetic Resonance Imaging

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

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Some Applications -- Industrial Inspection

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Some Applications -- Remote Sensing
Aerial images Satellite images

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

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

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Some Applications -- Transmitting Images
Video conferencing

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Some Applications -- Image Forensics

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Fundamental Steps in Digital Image Processing

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

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