Improved Active Contour Model by using the Honey Bee Mating Optimization
This paper improves the HBMO-SNAKE algorithm. The way is to adjust step of original algorithm as well as replace model parameters. The improved model choose queen flying speed simulate active contour energy and uses mating probability formula to calculate probability candidate control points are selected. The improved model also through calculating the fitness value of candidate control points to decide whether or not to replace the control points. This approach avoids the random number, mutation ratio and mutation variation generated when choose candidate control points. Therefore, the improved model solves the problems that original algorithm parameter redundancy and algorithm slow execution speed, so that the efficiency of the image edge detection substantially increased.
HBMO-SNAKE control point candidate control point fitness energy function
Zhonghai Li Xiang Man Jianguo Cui
College of Automation, Shenyang Aerospace University ,Shenyang, 110136
国际会议
长沙
英文
5277-5281
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）