원문정보
초록
영어
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.
목차
1. Introduction
2. Current Studies on Segmentation of Multiple Objects with Parameter Active Contour Model
3. Time and Treatment of Contour Split in Parameter Active Contour Model
3.1. Contour Self-cross and Application in Splitting Contours
3.2. Self-Cross Detection
3.3. Splitting Contours
4. Discussion on Approach for Object Shape with Contours
5. Conclusion
References