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Vision based Insert Defect Detection Method using Shape Symmetry and Image Similarity

机译:利用形状对称和图像相似度的基于视觉的刀片缺陷检测方法

摘要

The present invention relates to a method of detecting a defect of a cemented carbide insert by obtaining images of the cemented carbide insert through a camera of high resolution and comparing the symmetry of the product and the image similarity based on the image to prepare a cemented carbide insert step; Obtaining an optical processing and image of the cemented carbide insert; Estimating a shape of the sample through a mathematical analysis based on the image acquired in the step and classifying the region according to the symmetry; Obtaining a partial image of an inspection region to detect a defect based on the image acquired in the step and a corresponding region classified in the step; And detecting a defect by comparing the similarities between the partial images obtained in the step. The present invention relates to a method of detecting a defect of a cemented carbide insert using image symmetry and image similarity. Therefore, the defects can be detected by comparing the similarity with each corresponding image by using the symmetry of the product to check defects having various shapes and sizes.
机译:本发明涉及一种检测硬质合金刀片缺陷的方法,该方法是通过高分辨率照相机获得硬质合金刀片的图像,并基于图像比较产品的对称性和图像相似性以制备硬质合金。插入步骤;获得硬质合金刀片的光学加工和图像;根据步骤中获取的图像,通过数学分析估计样品的形状,并根据对称性对区域进行分类;根据步骤中获取的图像以及步骤中分类的对应区域,获取检查区域的局部图像以检测缺陷;并且通过比较在步骤中获得的部分图像之间的相似性来检测缺陷。本发明涉及一种利用图像对称性和图像相似性检测硬质合金刀片缺陷的方法。因此,通过使用产品的对称性检查具有各种形状和尺寸的缺陷,可以通过将与每个对应图像的相似性进行比较来检测缺陷。

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