基于纹理分割图的草地分界线提取算法

An Extraction Algorithm of the Grass Boundary Based on the Texture Segmentation Image

纹理分割是图像识别与处理过程中的一个重要环节。为此,从智能割草机器人作业场景入手,从改善智能机器人视觉识别角度出发,通过对图像纹理特征分析,提出一种能较好地适应智能割草机器人进行草地分界线提取的算法。同时,按照草地图像纹理分割图提取思路,很好地进行分割点坐标拟合,得出最优的、符合实际作业场景的草地边界分割图,可用于后序完善、优化智能机器人作业路径。

Texture segmentation is an important part of the image recognition and process,the article presents one algorithm through analyzing the image texture features from the working scene of intelligent mowing robot and the angle of improving intelligent robot visual identification,which can better adapt to the grass boundary extraction of the intelligent lawn mowing robot. According to the extraction thinking of the grass image texture segmentation,the coordinates points were fitted very well,and the optimal grass boundary segmentation image was got and was conformed to the actual workingscene. This would be used in the perfection and optimization about intelligent robot working paths.