Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1589640 | Micron | 2010 | 7 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Materials Science
Materials Science (General)
Authors
Madhumala Ghosh, Devkumar Das, Chandan Chakraborty, Ajoy K. Ray,