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Micron. 2010 Oct;41(7):840-6. doi: 10.1016/j.micron.2010.04.017. Epub 2010 May 8.

Automated leukocyte recognition using fuzzy divergence.

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  • 1School of Medical Science and Technology, I.I.T., Kharagpur, West Bengal, India.

Abstract

This paper aims at introducing an automated approach to leukocyte recognition using fuzzy divergence and modified thresholding techniques. The recognition is done through the segmentation of nuclei where Gamma, Gaussian and Cauchy type of fuzzy membership functions are studied for the image pixels. It is in fact found that Cauchy leads better segmentation as compared to others. In addition, image thresholding is modified for better recognition. Results are studied and discussed.

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