摘要
利用OpenCV图像处理技术对工业中齿轮图像进行自动识别检测,并在图中用矩形框标注出轮廓。运用了灰度化处理、边界检测的方法对图像进行平滑模糊处理,再运用二值化、腐蚀膨胀、轮廓检测的方法获得齿轮的外形数据,并对最后识别结果进行分析。
Gear image in industry is automatically recognized and detected using OpenCV image processing technology, and the outline is marked with rectangular frame in the graph. The method of grayscale processing and boundary detection is used to smooth and blur the image, and then the method of binarization, corrosion expansion and contour detection is used to obtain the profile data of the gear, and the final recognition results are analyzed.
作者
易东蔚
梁玉强
陈劲杰
Yi Dongwei;Liang Yuqiang;Chen Jingjie(School of Mechanic Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)
出处
《农业装备与车辆工程》
2019年第7期79-82,共4页
Agricultural Equipment & Vehicle Engineering
