Combinatorial Fuzzy Hough Transform and Its Application to Medical Image Processing
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- YAMAKAWA TAKESHI
- Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
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- UCHINO EIJI
- Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
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- HIRAKAWA KATSUMI
- Olympus Optical Co., Ltd.
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- MATSUYAMA TOSHITAKA
- Faculty of Medicine, Saga Medical School
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- WATANABE SUMIKO
- Harasanshin Hospital
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- NOGAMI NAOE
- Harasanshin Hospital
Bibliographic Information
- Other Title
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- 組合せファジィハフ変換とその医用画像処理への応用
Abstract
Hough transform is an effective method for line detection from noisy digital images. However, the coventioal Hough transform is not necessarily good enough for images under heavy noise. This paper describes a combinatorial fuzzy Hough transform, which enables the detection of a blurred line and also its segment (the start and the end of a line) from very noisy image. It is then extended in order that it may further detect a noisy circle. The effectiveness of the present method has been confirmed by applying it to the real microphotograph for cytodiagnosis.
Journal
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- International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association
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International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association 1 (1), 71-79, 1995
Biomedical Fuzzy Systems Association
