GIS5003-IMAGE PROCESSING

COURSE OBJECTIVES:

Image Processing is a broad subject encompassing studies of physics, geography, electrical engineering, computer science and mathematics. Fundamentals of digital image acquisition, processing, segmentation and classification by a computer will be covered. Its applications in medicine, geography, industry, defence, microscopy and other fields will be discussed. Related programs will be run on computer to visualize the results of several image processes.

SYLLABUS:

WEEK 1--	Digital Image Representation, Fundamental Steps in Image Processing
WEEK 2--	Elements of Digital Image Processing Systems
WEEK 3--	Some Basic Relationship between Pixels
WEEK 4--	Convolution and Correlation, the Fourier Transform, the Discrete Fourier Transform, the Fast Fourier Transform
WEEK 5--	Enhancement by Point Processing
WEEK 6--	Enhancement in the Frequency Domain
WEEK 7--	Spatial Filtering
WEEK 8--	Error Correction and Registration of Image Data
WEEK 9--	Detection of Discontinuities: Point, Line, Edge Detection
WEEK 10--	Thresholding, Region-Oriented Segmentation
WEEK 11--	Supervised Classification Techniques
WEEK 12--	Clustering and Unsupervised Classification Techniques
WEEK 13--	Multispectral Transformation of Image Data, Principle Component Analysis
WEEK 14--	Color Image Processing Fundamentals

TEXTBOOK: R. C. Gonzalez, R. E. Woods, "Digital Image Processing", Addison-Wesley Pub. Co., 1992.

SUPPLEMENTARY TEXTBOOKS:

1. R. C. Gonzalez, R. E. Woods, "Digital Image Processing Using MATLAB", Prentice Hall, 2003.
2. G. Blanchet, M. Charlott, "Digital Signal and Image Processing Using MATLAB", ISTE Ltd., 2006.

LECTURE NOTES: