摘要
针对磁痕图像采用直方图均衡化方法进行图像增强处理,为图像缺陷的高精度检测提供支持,依据最小误差方法获取最佳分割阈值,完成对图像的最佳分割,通过对各个分割后的连通区域进行伤痕判定,实现对整个磁痕图像的缺陷识别,完成磁痕图像缺陷的高精度检测.实验结果表明,利用改进算法进行磁痕图像缺陷的高精度检测,能够简化检测流程,极大提高了检测的效率与准确度.
Gray-level threshold segmentation based on pixels distribution of high precision magnetic mark image defects detection method.In view of the magnetic mark image using histogram equalization method to image enhancement processing,to provide support for high precision image defects detection,based on the minimum error method to obtain the best segmentation threshold,complete the best segmentation of image,through to the various segmentation connected area of the scar after judging,realize to the magnetic mark the defects of image recognition,finish high precision magnetic mark image defects detection.The experimental results show that the improved algorithm for high precision of the magnetic mark image defect detection,can simplify the testing process,greatly improve the efficiency and accuracy of detection.
出处
《微电子学与计算机》
CSCD
北大核心
2014年第12期118-122,共5页
Microelectronics & Computer
基金
河南省教育厅科学技术研究重点项目(14A520066)
关键词
磁痕图像
缺陷检测
灰度阈值
magnetic mark image
defect detection
gray level threshold
