基于蚁群算法的辊式涂布涂层厚度图像检测

针对目前辊式涂布涂层厚度检测效率低、准确率低等问题，提出一种基于启发式蚁群算法的辊式涂布涂层厚度机器视觉检测方法。采用Canny算子的原理提取出边缘信息，得到了边缘点的先验知识；然后建立了改进的蚁群算法的边缘追踪模型，实现了信息素和启发信息对蚂蚁的导向作用，同时较好地避免了蚂蚁在非边缘区域的分布和行走，解决了传统蚁群算法中随机性与正反馈两种机制的协调问题，使用改进蚁群算法的机器视觉法进行测量实验，与机理建模法对比最大误差为5.74%，平均误差为4.04%，满足实际生产需要。

Roll coating thickness image detection based on ant colony algorithm

Aiming at the problems of low efficiency and accuracy for roll coating thickness detection, a machine vision detection method based on heuristic ant colony algorithm was proposed. The principle of Canny operator was used to extract the edge information and obtain the prior knowledge of edge points. Then an improved edge tracking model of ant colony algorithm was established, which realized the guidance of pheromone and heuristic information to ants, avoided the distribution and walking of ants in non-edge areas and solved the problem of coordinated randomicity and positive feedback in traditional ant colony algorithm. This improved ant colony algorithm based on machine vision was used in the measurement experiment. Compared with the mechanism modeling method, the maximum error is 5.74%, and the average error is 4.04%, which meet the actual production needs.