A new approach for robust segmentation of the noisy or textured images

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	A new approach for robust segmentation of the noisy or textured images
	Wang ZZ(王振洲)
刊名	SIAM Journal on Imaging Sciences
	2016
卷号	9 期号:3 页码:1409-1436
关键词	segmentation labeled pixel spatial density distribution slope difference distribution histogram distribution
ISSN号	1936-4954
通讯作者	王振洲
产权排序	1
中文摘要	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.
WOS标题词	Science & Technology ; Technology ; Physical Sciences
类目[WOS]	Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Mathematics, Applied ; Imaging Science & Photographic Technology
研究领域[WOS]	Computer Science ; Mathematics ; Imaging Science & Photographic Technology
关键词[WOS]	LEVEL SET METHOD ; AURORAL OVAL SEGMENTATION ; ACTIVE CONTOURS ; RANDOM-FIELDS
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000385277200021
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/19254]
专题	沈阳自动化研究所_机器人学研究室
推荐引用方式 GB/T 7714	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.
APA	Wang ZZ.(2016).A new approach for robust segmentation of the noisy or textured images.SIAM Journal on Imaging Sciences,9(3),1409-1436.
MLA	Wang ZZ."A new approach for robust segmentation of the noisy or textured images".SIAM Journal on Imaging Sciences 9.3(2016):1409-1436.