微型机与应用2012，Vol.31Issue(13)：42-45,4.
基于改进的边缘检测蚁群算法的大米轮廓检测
Research of rice figure detection based on improved ant colony algorithm for image edge detection
肖曦 1彭良玉1
作者信息
- 1. 湖南师范大学物理与信息科学学院,湖南长沙410081
- 折叠
摘要
Abstract
Ant colony algorithm is an optimization algorithm inspired by the natural behavior of ant species that ants deposit pheromone on the ground for foraging. On this basis, an improved ant colony algorithm is proposed to detect the edge of rice figure. It could detect the edge of the rice figure effectively, and also solve the instability and inaccuracy problem of the traditional method. In the mean time, a comparative analysis is made between the result of the improved ant colony algorithm and the results of ant colony algorithm and other boundary algorithms like Roberts, Sobel and Prewitt. The experiment results prove that the improved ant colony algorithm has better effect, and has the characteristics of strong adaptability and high efficiency.关键词
蚁群算法/大米粒形/图像分割/边缘检测Key words
ant colony algorithm/flee figure/image segmentation/edge detection分类
计算机与自动化引用本文复制引用
肖曦,彭良玉..基于改进的边缘检测蚁群算法的大米轮廓检测[J].微型机与应用,2012,31(13):42-45,4.
