基于OpenCV的目标物体颜色及轮廓的识别方法

摘要

Aiming at the problem of recognizing the target object in robot visual,a way based on OpenCV is proposed, which can effectively recognize the color and the contour of the objects from the camera. The target object and its surrounding environment are read out by camera,and then the color of the object is recognized after a series of image processing. On the ba⁃sis of this,the Canny edge detection is carried on,and the contour is determined and displayed. The results show that the expe⁃rimental procedure can complete the extraction of target objects' color and contour perfectly,and avoid the interference of simi⁃lar color around objects effectively.%针对机器人视觉中对目标物体的拾取问题，提出一种基于OpenCV函数对从摄像头输入的目标物体的颜色及轮廓进行有效识别的方法。首先利用摄像头读取目标物体及周围环境，经一系列图像处理后进行目标物体的颜色识别，在此基础上进行Canny边缘检测并查找轮廓，最后将轮廓显示。结果表明，该实验程序可以很好地完成对目标物体的颜色及轮廓提取，且有效地避免了目标物体周围相近颜色的干扰。