计算机技术与发展2017，Vol.27Issue(2)：60-63,4.DOI:10.3969/j.issn.1673-629X.2017.02.014
基于优化的蚁群图像边缘检测算法研究
Research on Optimized Ant Colony Algorithm of Image Edge Detection
摘要
Abstract
Image edge detection is the key for digital image processing and has been difficult in research.Ant colony algorithm can achieve most of the image edge detection,but the effect of which is not very ideal,including incomplete and fractured edge and other defects.In view of the above problems,an optimized ant colony algorithm of image edge detection is presented.Through the analysis of information of basic ant colony algorithm on pheromone matrix,ant pheromone updating rule and state transfer rule,the rules of information pheromone updating and ant state transfer are analyzed and improved,and the main parameters of the impact factors of related pheromone and the heuristic function,the ant colony number and threshold are analyzed.The more reasonable value can be selected by experiments,which let the ant be more flexible.Simulation shows that the proposed algorithm can detect the edge of image and improve the accuracy and efficiency in detection.关键词
边缘检测/蚁群优化/转移规则/信息素Key words
edge detection/ant colony optimization/transfer rule/pheromone分类
信息技术与安全科学引用本文复制引用
何小虎..基于优化的蚁群图像边缘检测算法研究[J].计算机技术与发展,2017,27(2):60-63,4.基金项目
陕西自然科学基础研究计划项目(2014JM1026) （2014JM1026）
渭南师范学院项目(15YKP002) （15YKP002）
