# ECE 468 / CS 519 Digital Image Processing

Τεχνίτη Νοημοσύνη και Ρομποτική

5 Νοε 2013 (πριν από 4 χρόνια και 6 μήνες)

346 εμφανίσεις

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

Instructor:
Sinisa Todorovic
sinisa@eecs.oregonstate.edu

Ofﬁce:
2107 Kelley Engineering Center

Ofﬁce Hours:
Mon 4-5pm, or by appointment

Classes:
MWF 3-3:50pm, KEC 1003

Class website:
http://web.engr.oregonstate.edu/~sinisa/courses/OSU/ECE468/ECE468.html
2
Recommended Textbook

“Digital Image Processing”
by R.C. Gonzalez and R.E. Woods,
3rd edition
, Pearson Prentice Hall, 2008

3

“Digital Image Processing Using MATLAB,”
by R.C. Gonzalez,
R.E. Woods, and S. Eddins,
2nd edition
, Pearson Prentice
Hall, 2008
4
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
5
Prerequisites
6
Prerequisites

Signals and systems: ECE 351 and ECE 352
6
Prerequisites

Signals and systems: ECE 351 and ECE 352

Linear algebra

Matrices, Matrix Operations

Determinants, Systems of Linear Equations

Eigenvalues, Eigenvectors
6
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
6
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
7
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
7
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% larger
amount of work for homework assignments
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Requirements
8
Requirements

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

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

Exam 2 on
December 2, 3-3:50pm, KEC 1003
8

Homework = 30%

Exam 1 = 35%

Exam 2 = 35%

Bonus: Participation in class
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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

Submitting a homework that is not your own work
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What is a Digital Image?
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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 =
max
x
x
max
y

-- e.g. 640x480

Pixel intensity value
f(x,y)

[0, 255]
y
x
column
row
pixel
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Pixel Values
Source: DIP/3e
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Images are not Collections of Random Pixels
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A Typical Digital Image Processing System
3D world
camera
algorithms
representations
users
problem understanding
training data
expert systems
knowledge base
processed
image
input
image
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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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