Indicative contents

• Introduction (25%)
  What is an image? What are computer graphics, image processing, and computer vision? How do they relate to one another? Images capture. Image display. Human vision& machine vision. Resolution and quantisation. Colour and colour spaces. Storage of images in memory, and double buffering. Convolution and Correlation. Two dimensional Fourier transforms, Discrete Fourier transform, Fast Fourier transforms, Hadamard transform, Discrete cosine transforms, wavelet transforms, applications of image transforms
• Image operations (15%)
  Introduction to visual perception, spatial and frequency representations, image premier, multi-scale features, line detection, edge detection, contour tracing, texture analysis, image filtering, image matching, segmentation, scene labelling, shape from shading, shape representation.
• Image Analysis (15%)
  Morphological operations, Histogram based operations, Mathematics-based Operations, Convolution-based Operations, Smoothing Operations, Derivative-based Operations, Dilation and Erosion, Thinning and thickening Boolean Convolution, Opening and Closing, hit and Miss operation
• Image Segmentation (20%)
  Thresholding, edge based segmentation, region growing segmentation, Advanced optimal border and surface detection approaches, Matching, Edge image thresholding and low level vision analysis Edge relaxation, Border tracing, Edge following as graph searching, Edge following as dynamic programming, Hough transforms, Border detection using border location information, Region construction from border
• Object Recognition and classification (25%)
  Patterns and pattern classes, Statistical Decision Making, Non-Parametric Decision Making: Clustering based methods Recognition based on Decision Theoretic Methods (Neural Networks), Structural Methods.

Recommended reading

• Books
  1. Bernd Jahne, Digital Image Processing, Springer, 1997.
  2. William K Pratt, Digital Image Processing, John-Wiley, New York, 2001.
  3. M.H.F Wilkinson & F Schut, Digital Image Analysis of Microbes, John Wiley, New York 1998.
  4. Milan Sonka, Vaclav Hlavac & Roger Boyle, Image processing analysis and machine vision, Brooks, USA, 1999.
  5. Gonzalez & Richard E Woods, Digital Image Processing, Addison-Wesley, New York, 2000.
  6. Richards, J. A. Remote Sensing Digital Image Analysis. Springer-Verlag. 1986.
  7. Anil K Jain, Fundamentals of Digital Image Processing, PHI-New Delhi, 2001.
• Journals

1. International Journal of Remote Sensing (Taylor & Francis)
2. Remote Sensing of Environment (Elsevier)
3. Image and Vision Computing (IEEE) Transactions of Geosciences and Remote Sensing.

• Magazines
  IEEE Signal Processing
• Internet Sites

1. http://www.cosy.sbg.ac.at/~uhl/wav.html
2. http://www.ece.cmu.edu/~rms
3. http://www.ti.com
4. http://www.eg3.com/dsp
5. http://www.bdti.com
6. http://www.cl.cam.ac.uk
7. http://www.ph.tn.tudelft.nl/PRInfo/index.html
8. http://noodle.med.yale.edu/

• Laboratory
  Hardware Required: PC
  Software Required: MATLAB
  Software Manuals: MATLAB User Manual