@article{oai:muroran-it.repo.nii.ac.jp:00008328,
 author = {MAEDA,  Junji and 前田, 純治 and NOVIANTO, Sonny and ノヴィアント, ソンニ and 佐賀,  聡人 and SAGA, Sato and SUZUKI,  Yukinori and 鈴木, 幸司},
 journal = {室蘭工業大学紀要, Memoirs of the Muroran Institute of Technology},
 month = {Nov},
 note = {application/pdf, We present a new method that integrates intensity features and a local fractal-dimension feature into a region growing algorithm for the segmentation of natural images. A fuzzy rule is used to integrate different types of features into a segmentation algorithm. In the proposed algorithm, intensity features are used to produce an accurate segmentation, while the fractal-dimension feature is used to yield a rough segmentation in a natural image. The effective combination of the different features provides the segmented results similar to the ones by a human visual system. Experimental results demonstrates the capabilities of the proposed method to execute the segmentation of natural images using the fuzzy region-growing algorithm., 特集 : 「産業におけるソフトコンピューティングに関する国際会議'99」発表論文選集},
 pages = {47--53},
 title = {Segmentation of Natural Images Using Fuzzy Region-Growing Algorithm},
 volume = {50},
 year = {2000},
 yomi = {マエダ, ジュンジ and サガ, サト and スズキ, ユキノリ}
}