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