Journal
MICRON
Volume 41, Issue 7, Pages 840-846Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.micron.2010.04.017
Keywords
Leukocyte; Gamma distribution; Gaussian distribution; Cauchy distribution; Fuzzy divergence; Membership function
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Funding
- Dept. of Information Technology, Govt. of India [IIT/SRIC/SMST/DPR/2009-10/15]
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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. (c) 2010 Elsevier Ltd. All rights reserved.
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