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Image analysis using multifractals

Uma, K and Ramakrishnan, KR and Ananthakrishna, G (1996) Image analysis using multifractals. In: 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 96), MAY 07-10, 1996, ATLANTA, GA.

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Abstract

The efficacy of the multifractal spectrum as a tool for characterizing images has been studied. This spectrum has been computed for digitized images of the nucleus of human cervical cancer cells and it was observed that the entire spectrum is almost fully reproduced for a normal cell while only the right half (q<0) of the spectrum is reproduced for a cancerous cell. Cells in stages in between the two extremes show a shortening of the left half of the spectrum proportional to their condition. The extent of this shortening has been found to be sufficient to permit a classification between three classes of cells at varying distances from a basal cancerous layer-the superficial cells, the intermediate cells and the parabasal cells. This technique may be used for automatic screening of the population while also indicating the stage of malignancy

Item Type: Conference Paper
Additional Information: Copyright 1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material foradvertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 29 Apr 2011 08:38
Last Modified: 29 Apr 2011 08:38
URI: http://eprints.iisc.ernet.in/id/eprint/37291

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