A fuzzy optimal threshold technique for medical images

Balaji Thirupathi Kannan; Krishnaveni Krishnasamy; Pradeep Kumar Kenny S.

doi:10.1117/12.920893

13 January 2012 A fuzzy optimal threshold technique for medical images

Balaji Thirupathi Kannan, Krishnaveni Krishnasamy, Pradeep Kumar Kenny S.

Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 83490O (2012) https://doi.org/10.1117/12.920893
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

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.

Citation Download Citation

Balaji Thirupathi Kannan, Krishnaveni Krishnasamy, and Pradeep Kumar Kenny S. "A fuzzy optimal threshold technique for medical images", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83490O (13 January 2012); https://doi.org/10.1117/12.920893

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