农机化研究Issue(6)：49-52,4.
基于蚁群算法的玉米植株热红外图像边缘检测
Thermal Infrared Image Edge Detection Method Based on Ant Colony Algorithm for Corn Plant
摘要
Abstract
The thermal infrared image often has the drawbacks of inconspicuous distinction between target and back -ground , fuzzy effect .The traditional edge detection methods , such as Robert method , Sobel method , Canny method , are difficult to obtain satisfactory results .In order to solve the problems , the corn plant as the test object , the ant colony op-timization algorithm is applied for the first time thermal infrared image edge detection .The algorithm begins by initializing process , carried out N-step iterative constructing pheromone matrix , and then performing the pheromone update process , finally , image edge given by the decision making process .The simulation and experimental results show that this method can accurately detect the target edge and it is better than the traditional edge detection .Provided a new method for crop thermal infrared image processing .关键词
蚁群优化算法/玉米植株/热红外图像/边缘检测Key words
ant colony optimization/corn plant/thermal infrared image/edge detection分类
信息技术与安全科学引用本文复制引用
陈浩,方勇,朱大洲,王成,陈子龙..基于蚁群算法的玉米植株热红外图像边缘检测[J].农机化研究,2015,(6):49-52,4.基金项目
北京市自然科学基金项目（4142019）；北京市科技新星计划项目 （）
