Fuzzy based seeded region growing for image segmentation

Chung Chia Kang, Wen June Wang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

11 引文 斯高帕斯(Scopus)

摘要

This study proposes a novel seeded region growing based image segmentation method for both color and gray level images. The proposed fuzzy edge detection method, that only detects the connected edge, is used with fuzzy image pixel similarity to automatically select the initial seeds. The fuzzy distance is used to determine the difference between the pixel and region in the consequent regions growing, in which the conventional regions growing is modified to ensure that the pixel on the edge is processed later than other pixels, and the difference between two regions in the regions merging. In the simulations, the proposed method outperforms other existing segmentation methods.

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主出版物標題NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society
DOIs
出版狀態已出版 - 2009
事件2009 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2009 - Cincinnati, OH, United States
持續時間: 14 6月 200917 6月 2009

出版系列

名字Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

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???event.eventtypes.event.conference???2009 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2009
國家/地區United States
城市Cincinnati, OH
期間14/06/0917/06/09

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