基于改进SUSAN算法的电机换向器孔径参数检测

摘要

采用一种自适应选取阈值的方法取代传统SUSAN算法中的人为设定阈值,运用该算法进行了图像边缘检测测试,并与其他检测算子进行比较.最后将该算法用于电机换向器的孔径参数测量.试验结果表明:改进后的SUSAN算法提取出图像特征来进行目标识别、精密测量等图像描述和分析处理能得到令人满意的效果.%This paper improved the gray threshold using an adaptive threshold method instead of the one of artificial Hypothesis threshold value in the traditional SUSAN algorithms. The algorithm was used to test the image and compare it with other detection operators. Experimental results of aperture parameters measurement of electric motor commutator based on the new method show that image feature for object recognition is extracted to make precise measurement and image analysis better.