A New Measure of Fuzzy Directed Divergence and Its Application in Image Segmentation

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P.K Bhatia 1,* Surender Singh 2

1. Department of Mathematics, DCR University of Science and Technology, Murthal-131039 (Haryana), India

2. School of Mathematics, Shri Mata Vaishno Devi University, Sub post office, Katra-182320 (J & K), India

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2013.04.08

Received: 4 Aug. 2012 / Revised: 17 Nov. 2012 / Accepted: 19 Jan. 2013 / Published: 8 Mar. 2013

Index Terms

Aggregation, Divergence, Gamma Distribution, Thresholding


An approach to develop new measures of fuzzy directed divergence is proposed here. A new measure of fuzzy directed divergence is proposed, and some mathematical properties of this measure are proved. The application of fuzzy directed divergence in image segmentation is explained. The proposed technique minimizes the fuzzy divergence or the separation between the actual and ideal thresholded image.

Cite This Paper

P.K Bhatia, Surender Singh, "A New Measure of Fuzzy Directed Divergence and Its Application in Image Segmentation", International Journal of Intelligent Systems and Applications(IJISA), vol.5, no.4, pp.81-89, 2013. DOI:10.5815/ijisa.2013.04.08


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