扫描图像灰度分割下型模具 工作模面缺陷无损检测

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中图分类号：TP391.4 文献标志码：A

Abstract： In the field of non-destructive testing in industrial manufacturing， due to the presence of dust，particles，and other impurities in the workshop air，these impurities can adhere to the scanning head or mold surface during the scanning process， interfering with the normal movement of the scanning line and the reception of reflected light. This interference can cause degradation factors in the scanned image，affecting the detection effect. Therefore， a non-destructive detection method for defects on the working surface of the forming mold under scanning image grayscale segmentation is proposed. After obtaining the image of the working surface of the forming mold through a flatbed scanner， the degradation factors in the image are removed using filters and grayscale linear transformation methods to enhance the image quality. Based on the energy generalization function of grayscale and variance， the pixel grayscale value difference of the enhanced image is calculated， and the image is segmented into the mask part and the background part. Calculate the similarity between the grayscale segmented template image and the defect free template to achieve non-destructive testing. Performance tests have shown that the proposed method avoids damage to the mold caused by destructive testing，ensuring the integrity of the mold while efficiently and accurately detecting potential defects，providing a reliable basis for timely repair and maintenance of the mold.

Key words： scanning images; non destructive testing; grayscale segmentation; mold working surface；image enhancement；energy generalization function

0 引言

在现代工业制造领域，成型模具是精密生产的“基石”，其工作模面的质量水准直接关系到产品的成型精度、外观品质乃至整体生产效能[1]。（剩余8824字）