Information Sets and Information Processing

  • Madasu Hanmandlu Indian Institute of Technology Delhi, New Delhi
Keywords: Information Sets, Information Processing


The area of image processing has made rapid strides because of enormous applications it has in different fields. This growth can also be attributed to the increasing use of fuzzy logic in all tasks of image processing as the fuzzy logic facilitates the representation of inherent uncertainty in the image information which can be local or global. For problems like enhancement global information is of interest whereas the local information is needed for the problems of edge detection, segmentation, and recognition. However we need both for the noise removal. The images are of varied types: Medical images (CT scans, MR, X-rays, ECG, etc.), satellite images, natural scenes, videos, games, multimedia, biometrics, industrial, astronomical so on and so forth. The approaches to tackle different images have to be different. For example skin texture can’t represented by a colour model.

Defence Science Journal, 2011, 61(5), pp.405-407, DOI:

Author Biography

Madasu Hanmandlu, Indian Institute of Technology Delhi, New Delhi

Dr Madasu Hanmandlu

received his MTech (Power systems) from REC Warangal, Jawaharlal Nehru Technological University (JNTU), India, in 1976, and PhD (Control Systems) from Indian Institute of Technology(IIT), Delhi, India, in 1981. Presently working as Professor in Department of Electrical Engineering, IIT, Delhi. He worked in the areas of Power Systems, Control, Robotics and Computer Vision, before shifting to fuzzy theory. His current research interests mainly include: Fuzzy modeling for dynamic systems and applications of fuzzy logic to image processing, document processing, medical imaging, multimodal biometrics, surveillance and intelligent control.He has authored a book on Computer Graphics and published more than 220 publications in both conferences and journals.He has guided 15 PhDs and 100 MTech students.

How to Cite
Hanmandlu, M. (2011). Information Sets and Information Processing. Defence Science Journal, 61(5), 405-407.