期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：12
页码：19
出版社：SERSC
摘要：The subject of this paper is the segmentation of multiple objects from images based on 6the parameter active contour model (PACM). After analyzing application of the parameter active model to segment multiple objects, the evolution strategies and disadvantages of existing methods are presented. This paper proposes that the key points are two parts in detecting multiple objects with the PACM in the shrinking strategy. One key point includes the split time where contours appear as self-crosses, and the split algorithm of contours. The other key point is to maintain the uniform distribution of sampling points on contours in order to match the shapes of objects in segmenting. A new algorithm for detecting self-crosses is presented, and the results show that the new algorithm is faster than the other algorithm. The problem where vertexes on contours are sampled to match the shapes of objects in segmenting is studied, and its solution is presented.
关键词：parameter active contour model; segment of multiple objects; the shape of ;contour; self-cross of contours
