Digital Image Processing Pattern Analysis CSCE 563 Course

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, 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/~csci 563/ 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 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, AUC 4

Grading Assignments : Midterm Exam Term Project : Terms Paper : Final Exam : 15% 20% 20% 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 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 Segmentation Representation & Description Preprocessing Knowledge Base Recognition & Interpretation Image Acquisition Problem Prof. Amr Goneid, AUC 10

Image 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 Enhancement Smoothing & 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 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 Description Boundary Description Region Description Texture Prof. Amr Goneid, AUC 21

Pattern 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 Understanding Image Databases (e. g. CBIR) Knowledge Bases Expert Systems Prof. Amr Goneid, AUC 24