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Proceedings Paper

A fuzzy optimal threshold technique for medical images
Author(s): Balaji Thirupathi Kannan; Krishnaveni Krishnasamy; Pradeep Kumar Kenny S.
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Paper Abstract

A new fuzzy based thresholding method for medical images especially cervical cytology images having blob and mosaic structures is proposed in this paper. Many existing thresholding algorithms may segment either blob or mosaic images but there aren't any single algorithm that can do both. In this paper, an input cervical cytology image is binarized, preprocessed and the pixel value with minimum Fuzzy Gaussian Index is identified as an optimal threshold value and used for segmentation. The proposed technique is tested on various cervical cytology images having blob or mosaic structures, compared with various existing algorithms and proved better than the existing algorithms.

Paper Details

Date Published: 13 January 2012
PDF: 5 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83490O (13 January 2012); doi: 10.1117/12.920893
Show Author Affiliations
Balaji Thirupathi Kannan, Anna Univ. (India)
Krishnaveni Krishnasamy, Sri S. Ramaswamy Naidu Memorial College (India)
Pradeep Kumar Kenny S., Infant Jesus College of Engineering and Technology (India)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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