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.