Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation

doi:10.1049/iet-ipr.2013.0594

科研成果详情

题名	Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation
作者	Liu，Xin 1; Peng，Shu Juan 1; Cheung，Yiu Ming 2,3; Tang，Yuan Yan 4; Du，Ji Xiang 1
发表日期	2014-12-01
发表期刊	IET Image Processing
ISSN/eISSN	1751-9659
卷号	8 期号:12 页码:824-832
摘要	In this study, we present an efficient active contour with a joint and region-scalable distribution metric for interactive natural image segmentation. First, the authors project a red-green-blue image into the CIELab colour space and employ independent component analysis to select two subspace channels. Then, by initialising the evolving curve interactively in terms of a polygonal curve or multiple polygonal curves, they compute a joint probability distribution associated with a region-scalable mask to model the regional statistics and propose a simple but effective distribution metric to regularise the active contours. Subsequently, they convert the resultant level set function into binary pattern and find the larger 8-connected regions as the desired objects. Finally, the selected regions are smoothed with a circular averaging filter such that the final segmentation results can be obtained. The proposed approach not only can deal with the complex appearance and intensity in homogeneity, but also has the advantages of fast convergence and easy implementation. The experiments have shown the precise and reliable segmentation results in comparison with the state-of-the-art competing approaches.
DOI	10.1049/iet-ipr.2013.0594
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-84915803643
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/6485
专题	北师香港浸会大学
作者单位	1.College of Computer Science and Technology,Huaqiao University,Xiamen,361021,China 2.Department of Computer Science,Hong Kong Baptist University,Hong Kong 3.United International College,Beijing Normal University-Hong Kong Baptist University,Hong Kong 4.Department of Computer and Information Science,University of Macau,Macau SAR,Macao
推荐引用方式 GB/T 7714	Liu，Xin,Peng，Shu Juan,Cheung，Yiu Minget al. Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation[J]. IET Image Processing, 2014, 8(12): 824-832.
APA	Liu，Xin, Peng，Shu Juan, Cheung，Yiu Ming, Tang，Yuan Yan, & Du，Ji Xiang. (2014). Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation. IET Image Processing, 8(12), 824-832.
MLA	Liu，Xin,et al."Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation". IET Image Processing 8.12(2014): 824-832.