基于边界矩的机械零件图像轮廓特征提取技术

为实现机械零件的有效分类,针对零件具有比较明显的轮廓特征的特点,提出了基于边界矩的零件图像轮廓特征提取方法.首先采用轮廓提取算法,提取零件二值图像的轮廓,在进行水平倾斜校正后,以零件的质心为中心,将轮廓图像划分为若干个扇形子区域.利用改进的边界矩计算方法,分别计算出各子区域的边界矩,从而得出零件轮廓图像边界矩的分布特性.最后,采用K均值聚类算法对提取的零件轮廓特征进行分类,实验结果证明了该方法的有效性.

Method to extract contour feature of mechanical parts image based on edge moment

To effectively classify mechanical components,a novel method was proposed to extract contour feature of parts image to deal with mechanical parts with comparatively obvious contour features.Firstly,contour extraction algorithm was used to get the contour of mechanical part binary image.After horizontal tilt correction was processed,the contour image was divided into several fan-shaped sub areas with the centroid as the center.By using improved edge moments calculation method,the edge moments for each sub ar...