| Title | Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation |
| Creator | |
| Date Issued | 2014-12-01 |
| Source Publication | IET Image Processing
 |
| ISSN | 1751-9659 |
| Volume | 8Issue:12Pages:824-832 |
| Abstract | 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 | View source |
| Language | 英语English |
| Scopus ID | 2-s2.0-84915803643 |
| Citation statistics | |
| Document Type | Journal article |
| Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/6485 |
| Collection | Beijing Normal-Hong Kong Baptist University |
| Affiliation | 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 |
| Recommended Citation 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. |
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