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Image feature learning type defect detection method, defect detection apparatus and defect detection program

机译:图像特征学习型缺陷检测方法,缺陷检测装置和缺陷检测程序

摘要

PPROBLEM TO BE SOLVED: To provide a defect detection method that automatically sets appropriate detection sensitivity for every pixel of an image according to both intra-image luminance variation and inter-image luminance variation with the use of a plurality of non-defective images imaging a plurality of non-defective units. PSOLUTION: The defect detection method automatically computes a non-defective average image as a reference image from at least one non-defective image, and a defect level fuzzy membership function as a filter for converting a luminance differential value between the reference image and an image to be inspected into a defect level about each image pixel position, and recognizes as a defect a local area in the image to be inspected where the sum of defect levels in a defect size to be detected is equal to or larger than a reference value. PCOPYRIGHT: (C)2004,JPO
机译:

要解决的问题:提供一种缺陷检测方法,该方法使用多个无缺陷的图像,根据图像内亮度变化和图像间亮度变化,自动为图像的每个像素设置适当的检测灵敏度。对多个非缺陷单元成像的图像。

解决方案:缺陷检测方法会自动从至少一个非缺陷图像中自动计算出一个非缺陷平均图像作为参考图像,并且将缺陷水平模糊隶属函数用作用于在参考图像之间转换亮度差值的滤波器并且,将被检查图像的图像的缺陷等级设为与各图像像素位置有关的缺陷等级,将要检测的缺陷尺寸中的缺陷等级的总和为a以上作为缺陷区域。参考值。

版权:(C)2004,日本特许厅

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