Course Title: 
Image Analysis
Course Code: 
Year Taught: 
Postgraduate (PG)
School of Engineering

'Image Analysis' is a Elective (Computer Vision Stream) course offered for the M. Tech. in Computer Science and Engineering program at School of Engineering, Amrita Vishwa Vidyapeetham.

Image Morphology: Binary and gray scale Morphological analysis - Dilation and Erosion -Skeletons and Object Marking – Granulometry – Morphological Segmentation. Feature extraction: Global image measurement, feature specific measurement, characterizing shapes, Hough Transform. Representation and Description: Region Identification – Contour Based and Region Based Shape Representation and Description – Shape Classes. Flexible shape extraction: active contours, Flexible shape models: active shape and active appearance. Texture representation and analysis: Statistical Texture Description – Syntactic Texture Description Methods – Hybrid Texture description Methods – Texture Recognition Method Applications. Image Understanding: Control Strategies –RANSAC – Point Distribution Models – Scene Labeling and Constraint Propagation. Image Data Compression: Predictive Compression Methods – Vector Quantization, DCT, Wavelet, JPEG.


  1. Milan Sonka, Vaclav Hlavac and Roger Boyle, “Image Processing, Analysis and Machine Vision”, Third Edition, Cengage Learning, 2007.
  2. Tinku Acharya, Ajoy K Ray,“Image Processing- Principles and Applications”, Wiley, 2005.
  3. John C. Russ, “The Image Processing Handbook”, Sixth Edition, CRC Press, 2007.
  4. Mark S. Nixon, Alberto S. Aguado, “Feature Extraction and Image Processing”, Second Edition, Academic Press, 2008.