摘要
本文根据海上无人机拍摄的船只照片的环境特殊性以及无人机与海面晃动造成的图像模糊的特点,提出了一种基于蚁群算法的无人机图像目标边缘检测算法。将人工蚂蚁在图像中留下的信息素用矩阵的形式表现出来,然后通过信息素的多少来找到蚂蚁群帮助确定的最优路径,从而进行图像的边缘检测。
According to the drones took photos of the ships of the sea environment particularity and the shaking of unmanned aerial vehicles （UAVs） make the fuzzy image, USVs target edge detection algorithm based on ant colony algorithm is proposed in this paper. The pheromone left by an artificial ant in the image is shown in the form of a matrix, and then find the optimal path that the ant colony helps determine by how many pheromones to make the edge detection of image.
出处
《山西电子技术》
2018年第1期6-8,共3页
Shanxi Electronic Technology
关键词
无人机目标
蚁群算法
边缘检测
UAVs target
ant colony algorithm
edge detection
