COMPUTER ENG 4TN4
Image Processing
Academic year 2010-2011, term
2
Instructor:
Xiaolin Wu, ITB-A315
Extension:
24190
Email: xwu@ece.mcmaster.ca
Office
hours: Friday 2pm~4pm
Teaching
Assistant: Xiao Shu
ITB-A113
Lectures: 3
hours/week
Tutorial:
1 hour/week
Laboratory:
2 hours/week
FINAL EXAM: ITB/A113 a/b, April 26,
12:00~14:00.
Midterm
quizzes:
Feb. 17,
Thursday, ITB/139, 12:30~13:30
Feb. 18,
Friday, T13/123, 12:30~13:30
Sample
questions of midterm quizzes: makeup.pdf
Reading
material for contrast enhancement: ContrastTIP-xwu.pdf;
octmslides.pdf
Image
formation model paper ImageFormation.pdf
Lecture
notes: lecture2_fundamentals.pdf; lecture3_enhancement_spatial.pdf; lecture4_enhancement_frequency.pdf;
lecture5_restoration.pdf; lecture7_segmentation.pdf; lecture8_registration.pdf; Visualization.pdf; morphology.pdf;
color.pdf; lecture6_wavelet.pdf.
compressionslides\lec1.ppt;compressionslides\lec2.ppt;compressionslides\let3.ppt;compressionslides\let4.ppt.
2010
Project, part 1 http://grads.ece.mcmaster.ca/~shux/4tn4/ass_1.html
Midterm:
Course
Objectives:
Outline of
Topics:
，
Introduction
o Applications of image processing
o Elements of image processing system
，
Digital Image
Fundamentals
o Image perception
o Sampling and quantization
o Basic relationships between pixels
，
Image Enhancement
o Point processing
o Spatial filtering
o Frequency domain method
，
Image Restoration
o Degradation models
o Inverse filtering
o Minimum mean square error (Wiener) filtering
o Constrained least squares filtering
，
Wavelets and multiresolution processing
o Multiresolution expansion
o Wavelet transforms in one dimension
o Wavelet transforms in two dimensions
，
Image Compression
o Elements of information theory
o Lossless compression
o Lossy compression
o Image compression standards
，
Image Segmentation
o Detection of discontinuities
o Segmentation by thresholding
o Region based segmentation
，
Image representation
and description
o Chain codes
o Fourier descriptors
o Moments
，
Color image processing
o Color models
o Pseudocolor image processing
o Color transformation
，
Morphological image
processing
o Dilation and erosion
o Opening and closing
o Hit or miss transformation
Format: The
course consists of class lecture sessions, tutorial session and a laboratory
component. The lab component of the course consists of programming assignments
and a small project.
Assessment:
Assignments:
5%
Midterm:
25%
Final: 40%
Project:
30%
Textbook:
＾Digital Image Processing, 3rd edition￣, by R. Gonzalez and R. Woods,
Prentice Hall, 2002.