Content-based Image Retrieval by Information Theoretic Measure

  • Madasu Hanmandlu Indian Institute of Technology Delhi, New Delhi
  • Anirban Das High Tech Robotic Systems Ltd., Gurgaon
Keywords: Image retrieval, fuzzy features, descriptors, entropy, indexing


Content-based image retrieval focuses on intuitive and efficient methods for retrieving images from databases based on the content of the images. A new entropy function that serves as a measure of information content in an image termed as 'an information theoretic measure' is devised in this paper. Among the various query paradigms, 'query by example' (QBE) is adopted to set a query image for retrieval from a large image database. In this paper, colour and texture features are extracted using the new entropy function and the dominant colour is considered as a visual feature for a particular set of images. Thus colour and texture features constitute the two-dimensional feature vector for indexing the images. The low dimensionality of the feature vector speeds up the atomic query. Indices in a large database system help retrieve the images relevant to the query image without looking at every image in the database. The entropy values of colour and texture and the dominant colour are considered for measuring the similarity. The utility of the proposed image retrieval system based on the information theoretic measures is demonstrated on a benchmark dataset.

Defence Science Journal, 2011, 61(5), pp.415-430, DOI:

Author Biographies

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.

Anirban Das, High Tech Robotic Systems Ltd., Gurgaon
Dr Anirban Das received MCA from Jawaharlal Nehru University, New Delhi in 1999, MTech (Computer Sci. Engg) from IIT Delhi in 2002 and PhD (Computer Sci.) from Jamia Millia Islamia University, New Delhi in 2008. He is currently working with R Systems International Ltd. as Technical Architect for biometric system development. His research interests include: Image processing, computer vision, pattern recognition, biometric authentication, and artificial intelligence
How to Cite
Hanmandlu, M., & Das, A. (2011). Content-based Image Retrieval by Information Theoretic Measure. Defence Science Journal, 61(5), 415-430.
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