期刊
JOURNAL OF MODERN OPTICS
卷 66, 期 7, 页码 726-738出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/09500340.2019.1567840
关键词
Active contour model; partial differential equation; image segmentation; p-Laplace equation; augment Lagrangian method
类别
资金
- National Natural Science Foundation of China [61702012, 61672265, 61373055]
- University Outstanding Young Talent Support Project of Anhui Province of China [gxyq2017026]
- 111 Project of Chinese Ministry of Education [B12018]
- Industrial Support Program of Jiangsu Province [BE2012031]
In this paper, we propose a region-based active contour model for image segmentation. By combining the region fitting energy based on coefficient of variation with the variable exponent p-Laplace energy, the proposed method can perform well in segmenting complex images. The region fitting energy conducts the evolving curve to reach the boundaries of the objects, and the p-Laplace energy can handle the topological changes and extract the boundaries accurately. In order to eliminate the re-initialization step, an augmented Lagrangian method is employed to solve the optimization problem. The results of experiments on synthetic and real images demonstrate that our method can successfully segment complex object boundaries, and it is robust to noise and not sensitive to the initial position of contours.
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