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Journal of Electronic Imaging

Nonextensive information-theoretic measure for image edge detection
Author(s): Abdessamad Ben Hamza
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Paper Abstract

We propose a nonextensive information-theoretic measure called Jensen-Tsallis divergence, which may be defined between any arbitrary number of probability distributions, and we analyze its main theoretical properties. Using the theory of majorization, we also derive its upper bounds performance. To gain further insight into the robustness and the application of the Jensen-Tsallis divergence measure in imaging, we provide some numerical experiments to show the power of this entopic measure in image edge detection.

Paper Details

Date Published: 1 January 2006
PDF: 8 pages
J. Electron. Imaging. 15(1) 013011 doi: 10.1117/1.2177638
Published in: Journal of Electronic Imaging Volume 15, Issue 1
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Abdessamad Ben Hamza

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