digital image processing & pattern analysis (csce 563) course outline & introduction prof....
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Digital Image Processing&
Pattern Analysis(CSCE 563)
Course Outline & Introduction
Digital Image Processing&
Pattern Analysis(CSCE 563)
Course Outline & Introduction
Prof. Amr Goneid
Department of Computer Science & EngineeringThe American University in Cairo
Text Book & Other ReferencesText Book:
R. Gonzalez & P. Woods, “Digital Image Processing “, Addison-Wesley, 2nd Edition, 2002R. 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, 19863. MATLAB Image Processing Toolbox4. Selected Research Papers5. Web Page: www.cse.aucegypt.edu/~csci563/
Prof. Amr Goneid, AUC 2
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.
Prof. Amr Goneid, AUC 3
Topics
Introduction to Image ProcessingAcquisition, Representation and Storage of Digital ImagesGeometric Transformations.Intensity Transformations & Image EnhancementImage Encoding (Compression & Encryption) Segmentation & DescriptionFundamental Concepts in Pattern Recognition
Prof. Amr Goneid, AUC 4
Grading
Assignments : 15%
Midterm Exam 20%
Term Project : 20%
Terms Paper : 20%
Final Exam : 25%
Prof. Amr Goneid, AUC 5
Pixels as Units of Images
Original Image Zoomed
Prof. Amr Goneid, AUC 6
Color & Gray Scale
Prof. Amr Goneid, AUC 7
Binary Images
Binary Image (2 Levels)
Prof. Amr Goneid, AUC 8
Fundamental Steps in Image ProcessingFundamental Steps in Image Processing
Digital Image Acquisition & Display
Image Storage
Image Preprocessing
Image Segmentation
Image Description
Object ( Pattern ) Recognition
Image Interpretation & Understanding
Prof. Amr Goneid, AUC 9
Fundamental Steps in IP
Knowledge Base
Preprocessing
SegmentationRepresentation & Description
Recognition& Interpretation
Problem
Image Acquisition
Prof. Amr Goneid, AUC 10
Image PreprocessingImage Preprocessing
Geometric Operations
Image Transformation
Image Enhancement
Image Restoration
Image Compression
Image Encryption
Prof. Amr Goneid, AUC 11
Geometric Operations
Prof. Amr Goneid, AUC 12
Intensity Transformation
Gray Scale (256 levels) Negative
Prof. Amr Goneid, AUC 13
Image Enhancement
Prof. Amr Goneid, AUC 14
Image EnhancementSmoothing & Sharpening Filters
Prof. Amr Goneid, AUC 15
Image Compression
BMP Format (1885 Kb) JPEG Format (64 Kb)
Prof. Amr Goneid, AUC 16
Image Encryption
Plain Encrypted
Prof. Amr Goneid, AUC 17
Image SegmentationImage Segmentation
Point , Line and Edge Detection
Separation of Objects ( Thresholding )
Motion Detection
Prof. Amr Goneid, AUC 18
Edge Detection
Prof. Amr Goneid, AUC 19
Separation of Objects
Prof. Amr Goneid, AUC 20
Image DescriptionImage Description
Boundary Description
Region Description
Texture
Prof. Amr Goneid, AUC 21
Pattern AnalysisPattern Analysis
Pattern Classification
Matching
Neural Networks
Prof. Amr Goneid, AUC 22
Some Applications
Line Detection (e.g. Hough Transform)
Shape Recognition
Character Recognition
Face Recognition
Fingerprint Identification
Many Others
Prof. Amr Goneid, AUC 23
Image UnderstandingImage Understanding
Image Databases (e.g. CBIR)
Knowledge Bases
Expert Systems
Prof. Amr Goneid, AUC 24