Improved techniques for unsupervised image segmentation

Li Gao, Jie Xia, Junli Liang, Shuyuan Yang

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper proposed a novel automatic image-segmentation system which is an improvement to the marker-based watershed transform. A new marker-extracted approach was proposed to extract the regional minima from the low frequency components in the gradients map. The extracted minima constitute the binary marker image. Then the markers are imposed on the original gradients as its minima, and suppress its all intrinsic minima. Finally, the watershed algorithm is applied to the modified gradients to perform the segmentation. Across a variety of image types, it is proven that this new system can obtain meaningful and homogeneous regions with accurate, consecutive and one-pixel wide boundary. Additionally compared with other methods, this system requires fewer computations and simpler parameters and can more efficiently reduce the over-segmentation of the watershed algorithm.

源语言英语
主期刊名2006 International Conference on Communications, Circuits and Systems, ICCCAS, Proceedings - Signal Processing
154-157
页数4
DOI
出版状态已出版 - 2006
已对外发布
活动2006 International Conference on Communications, Circuits and Systems, ICCCAS - Guilin, 中国
期限: 25 6月 200628 6月 2006

出版系列

姓名2006 International Conference on Communications, Circuits and Systems, ICCCAS, Proceedings
1

会议

会议2006 International Conference on Communications, Circuits and Systems, ICCCAS
国家/地区中国
Guilin
时期25/06/0628/06/06

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