An improved level set method to image segmentation tation based on saliency

doi:10.3745/JIPS.02.0105

	An improved level set method to image segmentation tation based on saliency
	Wang, Yan; Xu, Xianfa
	2019
发表期刊	Journal of Information Processing Systems
ISSN	1976913X
卷号	15 期号:1 页码:7-21
摘要	In order to improve the edge segmentation effect of the level set image segmentation and avoid the influence of the initial contour on the level set method, a saliency level set image segmentation model based on local Renyi entropy is proposed. Firstly, the saliency map of the original image is extracted by using saliency detection algorithm. And the outline of the saliency map can be used to initialize the level set. Secondly, the local energy and edge energy of the image are obtained by using local Renyi entropy and Canny operator respectively. At the same time, new adaptive weight coefficient and boundary indication function are constructed. Finally, the local binary fitting energy model (LBF) as an external energy term is introduced. In this paper, the contrast experiments are implemented in different image database. The robustness of the proposed model for segmentation of images with intensity inhomogeneity and complicated edges is verified. © 2019 KIPS.
关键词	Drop breakup Image enhancement Level measurement Numerical methods Canny Operators Edge energy Level Set method Renyi entropy Saliency map
DOI	10.3745/JIPS.02.0105
收录类别	EI ; ESCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems
WOS记录号	WOS:000462199100002
出版者	Korea Information Processing Society, 1002ho Yongsungbiz tel, 314-1 2Ga Hankangro, Yongsan-gu, Seoul, 140-750, Korea, Republic of
EI入藏号	20191906883576
EI主题词	Image segmentation
EI分类号	921.6 Numerical Methods - 931.2 Physical Properties of Gases, Liquids and Solids - 943.2 Mechanical Variables Measurements
来源库	Compendex
分类代码	921.6 Numerical Methods - 931.2 Physical Properties of Gases, Liquids and Solids - 943.2 Mechanical Variables Measurements
引用统计	无
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/113874
专题	兰州理工大学
通讯作者	Xu, Xianfa
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou, Gansu, Peoples R China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Wang, Yan,Xu, Xianfa. An improved level set method to image segmentation tation based on saliency[J]. Journal of Information Processing Systems,2019,15(1):7-21.
APA	Wang, Yan,&Xu, Xianfa.(2019).An improved level set method to image segmentation tation based on saliency.Journal of Information Processing Systems,15(1),7-21.
MLA	Wang, Yan,et al."An improved level set method to image segmentation tation based on saliency".Journal of Information Processing Systems 15.1(2019):7-21.