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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
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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
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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.
Prof. Amr Goneid, AUC 3
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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
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Grading
Assignments : 15%
Midterm Exam 20%
Term Project : 20%
Terms Paper : 20%
Final Exam : 25%
Prof. Amr Goneid, AUC 5
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Pixels as Units of Images
Original Image Zoomed
Prof. Amr Goneid, AUC 6
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Color & Gray Scale
Prof. Amr Goneid, AUC 7
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Binary Images
Binary Image (2 Levels)
Prof. Amr Goneid, AUC 8
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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
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Fundamental Steps in IP
Knowledge Base
Preprocessing
SegmentationRepresentation & Description
Recognition& Interpretation
Problem
Image Acquisition
Prof. Amr Goneid, AUC 10
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Image PreprocessingImage Preprocessing
Geometric Operations
Image Transformation
Image Enhancement
Image Restoration
Image Compression
Image Encryption
Prof. Amr Goneid, AUC 11
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Geometric Operations
Prof. Amr Goneid, AUC 12
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Intensity Transformation
Gray Scale (256 levels) Negative
Prof. Amr Goneid, AUC 13
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Image Enhancement
Prof. Amr Goneid, AUC 14
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Image EnhancementSmoothing & Sharpening Filters
Prof. Amr Goneid, AUC 15
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Image Compression
BMP Format (1885 Kb) JPEG Format (64 Kb)
Prof. Amr Goneid, AUC 16
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Image Encryption
Plain Encrypted
Prof. Amr Goneid, AUC 17
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Image SegmentationImage Segmentation
Point , Line and Edge Detection
Separation of Objects ( Thresholding )
Motion Detection
Prof. Amr Goneid, AUC 18
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Edge Detection
Prof. Amr Goneid, AUC 19
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Separation of Objects
Prof. Amr Goneid, AUC 20
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Image DescriptionImage Description
Boundary Description
Region Description
Texture
Prof. Amr Goneid, AUC 21
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Pattern AnalysisPattern Analysis
Pattern Classification
Matching
Neural Networks
Prof. Amr Goneid, AUC 22
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Some Applications
Line Detection (e.g. Hough Transform)
Shape Recognition
Character Recognition
Face Recognition
Fingerprint Identification
Many Others
Prof. Amr Goneid, AUC 23
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Image UnderstandingImage Understanding
Image Databases (e.g. CBIR)
Knowledge Bases
Expert Systems
Prof. Amr Goneid, AUC 24