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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/107465


    題名: Image segmentation with complicated background by using seeded region growing
    作者: 王文俊;Kang, Chung-Chia;Wang, Wen-June;Kang, Chung-Hao
    貢獻者: 資訊電機學院電機工程學系
    關鍵詞: Color image;Edge detection;Fuzzy theory;Gray level image;Image segmentation;Seeded region growing
    日期: 2012-09-01
    上傳時間: 2026-04-23 14:13:49 (UTC+8)
    出版者: Urban und Fischer Verlag Jena;Elsevier GmbH
    摘要: 摘要: This study proposes a novel seeded region growing based image segmentation method for complicated background in 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 not in the detail and complicated background. The fuzzy distance is used to determine the difference between the pixel and region in the consequent region growing and the difference between two regions in the region merging. The conventional region growing is modified in this study to ensure that the pixel on the edge is processed later than other pixels. Finally, the simulations in study prove that the proposed method is better than other existing segmentation methods.
    出版者: Elsevier GmbH
    出版日期: 2012-09
    出處: International journal of electronics and communications, 2012-09, Vol.66 (9), p.767-771
    版權: 2012 Elsevier GmbH
    識別號: ISSN: 1434-8411
    識別號: EISSN: 1618-0399
    識別號: DOI: 10.1016/j.aeue.2012.01.011
    顯示於類別:[電機工程學系] 期刊論文

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