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 “, Addison- Wesley, 2 nd 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, T. Young & K.S. Fu, Ed., “Handbook of Pattern Recognition and Image Processing“, Academic Press, MATLAB Image Processing Toolbox 4.Selected Research Papers 5.Web Page: Prof. Amr Goneid, AUC2
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, AUC3
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 Prof. Amr Goneid, AUC4
Grading Assignments: 15% Midterm Exam20% Term Project: 20% Terms Paper: 20% Final Exam: 25% Prof. Amr Goneid, AUC5
Pixels as Units of Images Original ImageZoomed Prof. Amr Goneid, AUC6
Color & Gray Scale Prof. Amr Goneid, AUC7
Binary Images Binary Image (2 Levels) Prof. Amr Goneid, AUC8
Fundamental 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, AUC9
Fundamental Steps in IP Knowledge Base Preprocessing Segmentation Representation & Description Recognition & Interpretation Problem Image Acquisition Prof. Amr Goneid, AUC10
Image Preprocessing Geometric Operations Image Transformation Image Enhancement Image Restoration Image Compression Image Encryption Prof. Amr Goneid, AUC11
Geometric Operations Prof. Amr Goneid, AUC12
Intensity Transformation Gray Scale (256 levels)Negative Prof. Amr Goneid, AUC13
Image Enhancement Prof. Amr Goneid, AUC14
Image Enhancement Smoothing & Sharpening Filters Prof. Amr Goneid, AUC15
Image Compression BMP Format (1885 Kb)JPEG Format (64 Kb) Prof. Amr Goneid, AUC16
Image Encryption PlainEncrypted Prof. Amr Goneid, AUC17
Image Segmentation Point, Line and Edge Detection Separation of Objects ( Thresholding ) Motion Detection Prof. Amr Goneid, AUC18
Edge Detection Prof. Amr Goneid, AUC19
Separation of Objects Prof. Amr Goneid, AUC20
Image Description Boundary Description Region Description Texture Prof. Amr Goneid, AUC21
Pattern Analysis Pattern Classification Matching Neural Networks Prof. Amr Goneid, AUC22
Some Applications Line Detection (e.g. Hough Transform) Shape Recognition Character Recognition Face Recognition Fingerprint Identification Many Others Prof. Amr Goneid, AUC23
Image Understanding Image Databases (e.g. CBIR) Knowledge Bases Expert Systems Prof. Amr Goneid, AUC24