摘要
A novel adaptive method of automatic threshold selection is proposed for image segmentation in this paper. An optimal threshold is selected by the discriminant criterion acquired from the gray-level statistic of the resultant target and background region. The theoretical analysis shows that correct image segmentation can be obtained for a low-contrast image with complex background using this method, no matter the proportion of the target is small or big. Moreover, the computing quantity and the processing time can be decreased greatly by setting the gray level selection region. Several experimental results are also presented to support the validity ofthis method.
源语言 | 英语 |
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主期刊名 | Electronic Imaging and Multimedia Technology III |
编辑 | LiWei Zhou, Chung-Sheng Li, Yoshiji Suzuki |
出版商 | SPIE |
页 | 265-269 |
页数 | 5 |
ISBN(电子版) | 9780819447142 |
DOI | |
出版状态 | 已出版 - 30 8月 2002 |
活动 | Electronic Imaging and Multimedia Technology III 2002 - Shanghai, 中国 期限: 14 10月 2002 → 18 10月 2002 |
出版系列
姓名 | Proceedings of SPIE - The International Society for Optical Engineering |
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卷 | 4925 |
ISSN(印刷版) | 0277-786X |
ISSN(电子版) | 1996-756X |
会议
会议 | Electronic Imaging and Multimedia Technology III 2002 |
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国家/地区 | 中国 |
市 | Shanghai |
时期 | 14/10/02 → 18/10/02 |
指纹
探究 'Segmentation of infrared image using adaptive thresholding' 的科研主题。它们共同构成独一无二的指纹。引用此
Wang, Q., Liu, J., & Lin, Y. (2002). Segmentation of infrared image using adaptive thresholding. 在 L. Zhou, C.-S. Li, & Y. Suzuki (编辑), Electronic Imaging and Multimedia Technology III (页码 265-269). (Proceedings of SPIE - The International Society for Optical Engineering; 卷 4925). SPIE. https://doi.org/10.1117/12.481568