Honey Bee Mating Optimization Scheme for Active Contour Model
In this paper, the honey bee mating optimization (HBMO) algorithm is used to improve the detection of the concave region connected with the control points of active contour. In the traditional active contour model (ACM) method, the updating of control point is based on its local energy within a small searching window. As a result, it always results in the failure of precisely searching the boundary concavities. In order to vanquish these drawbacks, the HBMObased snake scheme is adopted in this paper to search for the optimal position in a lager searching window around each control point. In this proposed scheme, to each active contour there is a chromosome that includes several genes as well as the control points of active contour. These control points are moved iteratively by minimizing the total energy of the active contour. Experimental results reveal that the proposed HBMO-based snake scheme can locate the object boundary of concavity more precisely without requiring large of computational time.
Honey bee mating optimization Active contour model Chromosome Gene Concavity
Ming-Huwi Horng Jin-Yi Chen Ren-Jean Liou
Department of Information Engineering and Computer Science National Pingtung Institute of Commerce P Department of Computer and Communication, National Pingtung Institute of Commerce Pingtung, TAIWAN
国际会议
2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)
沈阳
英文
1-6
2009-08-12（万方平台首次上网日期，不代表论文的发表时间）