@article{oai:kyutech.repo.nii.ac.jp:00000049,
 author = {Yamakawa, Takeshi and 山川, 烈 and 内野, 英治 and Uchino, Eiji and 平川, 克己 and Hirakawa, Katsumi and 松山, 敏剛 and Matsuyama, Toshitaka and 渡辺, 寿美子 and Watanabe, Sumiko and 野上, ナヲエ and Nogami, Naoe},
 issue = {1},
 journal = {Biomedical fuzzy and human sciences: the official journal of the Biomedical Fuzzy Systems Association},
 month = {Jul},
 note = {ハフ変換はノイズに埋もれた画像から直線を検出する有効な手法である.しかし, 従来のハフ変換ではノイズが多くなると直線を検出するのが困難になる.本論文では, ノイズの多い画像中の, いわゆるぼやけた直線や, 有界な線分(始点と終点)をも検出できる組合せファジィハフ変換を提案する.さらに, この手法を拡張しノイズに埋もれた円の検出も可能にした.本手法の有効性は細胞診に用いる顕微鏡画像への適用により確認された., 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.},
 pages = {71--79},
 title = {組合せファジィハフ変換とその医用画像処理への応用},
 volume = {1},
 year = {1995},
 yomi = {ヤマカワ, タケシ}
}