凹点匹配算法在大米图像分割中的应用

摘要

Rice particle adhesion in rice detection process brings great difficulties to subsequent rice detection and classification. In this paper, a method of segmentation of adhesion rice based on concave point matching is presented. Firstly, the original image is preprocessed based on the feature of Rice image combined with the thought of morphology. Second, the original image is preprocessed by using chain code tracking to calculate the curvature of the image boundary after segmentation, and then search the concave point according to the curvature result and chain code difference. At last, the concave point is matched, and the concave point is connected with the dividing line. The concave point matching segmentation is realized. The experimental results show that the method has better segmentation effect than traditional segmentation method, and can effectively restrain the segmentation phenomenon.%大米检测过程中大米颗粒粘连给后续大米等级评价、分类等处理带来很大的困难.提出基于凹点匹配的粘连大米分割方法,该方法首先根据大米图像的特征,结合形态学的方法对原始图像进行预处理,然后采用链码跟踪计算分割后图像边界的曲率,利用曲率结果和链码差进行凹点搜索,最后进行凹点匹配,把凹点用分割线连接起来,实现对粘连颗粒图像进行凹点匹配分割.实验结果表明,该方法有较好的分割效果,并且能有效地抑制过分割现象.