A non-iterative clustering based soft segmentation approach for a class of fuzzy 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 non-iterative clustering based soft segmentation approach for a class of fuzzy images
	Wang ZZ(王振洲); Yang YM(杨永明)
刊名	Applied Soft Computing Journal
	2017
关键词	Clustering Slope difference distribution Interval type-2 fuzzy logic Non-iterative Iterative
ISSN号	1568-4946
通讯作者	Wang ZZ(王振洲)
产权排序	1
中文摘要	Many machine vision applications require to compute the size of the fuzzy object in the captured image sequences robustly. The size variation with the change of time is then utilized for the different purposes, e. g. data analysis, diagnosis and feedback control. To this end, robust image segmentation is required in the first place. Many state-of-the-art segmentation methods are based on iterative clustering, e.g. the expectation maximization (EM) method, the K-means method and the fuzzy C-means method. One drawback of the iterative learning based clustering methods is that they perform poorly when there are severe noise or outliers. Consequently, the hard segmentation results for the fuzzy images by these segmentation results are not robust enough and the computed sizes based on the hard segmentation results are not accurate either. In this paper, we propose a non-iterative clustering based approach to segment the fuzzy object from the fuzzy images. Instead of yielding a hard segmentation result, we utilize interval type-2 fuzzy logic to assign membership to the final segmentation result. Accordingly, we compute the size of the object based on the soft segmentation result. Experimental results show that the proposed non-iterative soft segmentation approach is more robust in computing the size of the fuzzy object than the hard approaches that yield a distinct segmentation result.
收录类别	EI
语种	英语
WOS记录号	WOS:000443296000066
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/20494]
专题	沈阳自动化研究所_机器人学研究室
作者单位	State Key Lab of Robotics, Shenyang Institute of Automation, Chinese Academy of Science (CAS), Shenyang, China
推荐引用方式 GB/T 7714	Wang ZZ,Yang YM. A non-iterative clustering based soft segmentation approach for a class of fuzzy images[J]. Applied Soft Computing Journal,2017.
APA	Wang ZZ,&Yang YM.(2017).A non-iterative clustering based soft segmentation approach for a class of fuzzy images.Applied Soft Computing Journal.
MLA	Wang ZZ,et al."A non-iterative clustering based soft segmentation approach for a class of fuzzy images".Applied Soft Computing Journal (2017).