Transcript Image Processing - American University in Cairo

Digital Image Processing
&
Pattern Analysis
(CSCE 563)
Course Outline & Introduction
Prof. Amr Goneid
Department of Computer Science & Engineering
The American University in Cairo
Text Book & Other References
Text Book:
R. Gonzalez & P. Woods, “Digital Image Processing “, AddisonWesley, 2nd Edition, 2002
R. Gonzalez, R. Woods and S. Eddins, “ Digital Image Processing
with MATLAB”, Pearson Prentice Hall, 2004
Other References:
1.
M. Seul, L. O'Gorman, M.J. Sammon, "Practical Algorithms for
Image Analysis", Cambridge University Press, 2000.
2.
T. Young & K.S. Fu , Ed., “Handbook of Pattern Recognition and
Image Processing“, Academic Press, 1986
3.
MATLAB Image Processing Toolbox
4.
Selected Research Papers
5.
Web Page: www.cse.aucegypt.edu/~csci563/
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Course Description
Fundamental concepts and basic techniques of
digital image processing.
Algorithms and recent research in image
transformation, enhancement, restoration, encoding
and description.
Fundamentals and basic techniques of pattern
recognition.
Hands-on experience in image processing and
pattern analysis using practical examples.
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Topics
Introduction to Image Processing
Acquisition, Representation and Storage of
Digital Images
Geometric Transformations.
Intensity Transformations & Image Enhancement
Image Encoding (Compression & Encryption)
Segmentation & Description
Fundamental Concepts in Pattern Recognition
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Grading
Assignments :
Midterm Exam
Term Project :
Terms Paper :
Final Exam :
15%
20%
20%
20%
25%
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Pixels as Units of Images
Original Image
Zoomed
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Color & Gray Scale
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Binary Images
Binary Image (2 Levels)
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Fundamental Steps in Image
Processing
Digital Image Acquisition & Display
Image Storage
Image Preprocessing
Image Segmentation
Image Description
Object ( Pattern ) Recognition
Image Interpretation & Understanding
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Fundamental Steps in IP
Segmentation
Representation
& Description
Preprocessing
Knowledge Base
Recognition
& Interpretation
Image
Acquisition
Problem
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Image Preprocessing
Geometric Operations
Image Transformation
Image Enhancement
Image Restoration
Image Compression
Image Encryption
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Geometric Operations
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Intensity Transformation
Gray Scale (256 levels)
Negative
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Image Enhancement
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Image Enhancement
Smoothing & Sharpening Filters
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Image Compression
BMP Format (1885 Kb)
JPEG Format (64 Kb)
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Image Encryption
Plain
Encrypted
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Image Segmentation
Point , Line and Edge Detection
Separation of Objects ( Thresholding )
Motion Detection
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Edge Detection
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Separation of Objects
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Image Description
Boundary Description
Region Description
Texture
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Pattern Analysis
Pattern Classification
Matching
Neural Networks
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Some Applications
Line Detection (e.g. Hough Transform)
Shape Recognition
Character Recognition
Face Recognition
Fingerprint Identification
Many Others
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Image Understanding
Image Databases (e.g. CBIR)
Knowledge Bases
Expert Systems
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