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题名: A new approach for robust segmentation of the noisy or textured images
作者: Wang ZZ(王振洲)
作者部门: 机器人学研究室
通讯作者: 王振洲
关键词: segmentation ; labeled pixel spatial density distribution ; slope difference distribution ; histogram distribution
刊名: SIAM Journal on Imaging Sciences
ISSN号: 1936-4954
出版日期: 2016
卷号: 9, 期号:3, 页码:1409-1436
收录类别: SCI ; EI
产权排序: 1
项目资助者: Chinese Academy of Sciences (CAS), Y5A1270101.
摘要: Segmentation of noisy or textured images remains challenging in both accuracy and computational efficiency. In this paper, we propose a new approach for segmentation of noisy or textured images that exist widely in real life. The proposed approach finds the mean values of different pixel classes more efficiently and accurately than the benchmark expectation maximization (EM) and K-means methods. With these mean values, the segmentation is achieved by clustering the pixels to its nearest mean. When too much noise is left for the presegmentation result or when textured objects are involved, we propose transforming the density distribution of labeled pixels into grayscale distribution by down-sampling the image with a bicubic function. An optimal threshold is automatically selected from the slope difference distribution of the histogram for the final segmentation. The extracted boundary is then refined by an energy minimization function with the detected edges when enough clear edges can be obtained. A large variety of images are used to validate the proposed approach, and the results verify its effectiveness in segmenting both noisy and textured images.
语种: 英语
WOS记录号: WOS:000385277200021
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/19254
Appears in Collections:机器人学研究室_期刊论文

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Recommended Citation:
Wang ZZ. A new approach for robust segmentation of the noisy or textured images[J]. SIAM Journal on Imaging Sciences,2016,9(3):1409-1436.
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