MCA-505 Elective-III (E-III)B computer vision and digital image processing Syllabus

RAJIV GANDHI PROUDYOGIKI VISHWAVIDYALAYA

  (University of Technology of Madhya Pradesh)

 COURSE OF STUDY AND SCHEME OF EXAMINATION

MASTER OF COMPUTER APPLICATIONS (MCA)

W.E.F. 2005-2006

MCA-505 Elective-III (E-III)B computer vision and digital image processing Syllabus

 

UNIT-I

Introduction: The role of Computer Vision, applications, successes, research issues; its relationship to natural vision, basic image properties. Digital image representation, fundamental steps in image processing, elements of digital image processing systems digitization, Display and recording devices.

UNIT-II

Digital Image fundamentals: A simple Image model. Sampling and quantization, Relationship between pixel, imaging geometry, image transformation, introduction to fourier transformation, Discrete fourier transformation, fast fourier transformation.

UNIT-III

Image Enhancement: Histogram processing, image subtraction, image averaging, smoothing filters, sharpening filters, enhancement in frequency domain, low pass filtering, high pass filtering.

UNIT-IV

Image Encoding & Segmentation: Segmentation, detection of discontinuation by point detection, line detection, edge detection. Edge linking & Boundary Detection: Local analysis, global by Hough transform & Global by graph theoretic techniques.

UNIT-V

Image Representation and Description: Chain codes, polygonal approximation, signatures, boundary segments, boundary descriptors, regional descriptors, introduction to image understanding.

Motion Tracking , Image differencing, Feature matching, Optic flow

BOOKS

1.                Gonzalez and Woods  “Digital Image Processing”, Addition Wesley

2.                Gonzalez and Woods “Digital Image Processing using MATLAB”, Addition Wesley

3.                SchalKoff: Digital Image Processing & Computer Vision, Addition Wesley.

4.                M. Sonka  et.al : Image Processing and Machine Vision, Prentice Hall.

5.                Ballard & Brown:  Computer Vision, Prentice Hall.

6.                Jain A. K. Fundamentals of Digital Image Processing, PHI

7.                Boyle and Thomas, ``Computer Vision - A First Course'' 2nd Edition, ISBN 0-632-028-67X, Blackwell Science 1995.

8.                Low, "Introductory Computer Vision and Image Processing", McGraw-Hill 1991, ISBN 0-07-707403-3

Note : Paper is to be set unit wise with internal choice.