摘要
针对传统蚁群算法对图像边缘检测需要重复计算、步长单一问题,提出了一种具有感知功能和变步长的蚁群图像边缘检测算法。让觅食蚁具有感知功能和灵活的步长,这样,可以避免大量的重复计算同时让觅食蚁快速搜索到图像边缘。实验仿真结果表明,该算法可以有效地检测出图像边缘,运行时间明显缩短。
In view of the traditional ant colony algorithm for image edge detection,a new ant colony image edge detection algorithm with sensing function and variable step size is proposed. To let foragers have sensing function and flexible step. In this way,it can avoid a lot of repeated calculation and foragers to quickly search for the edge of the image. The experimental simulation results show that the proposed algorithm can effectively detect the edge of the image, the running time is significantly shortened.
出处
《信息技术》
2016年第11期124-126,共3页
Information Technology
基金
陕西自然科学基础研究计划项目(2014JM1026)
陕西自然科学研究发展计划项目(2014JM2-1004)
渭南师范学院项目(15YKP002)
渭南师范学院特色学科建设项目(14TSXK02)
关键词
边缘检测
蚁群优化
感知功能
变步长
edge detection
ant colony optimization
perception function
variable step size
