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SYSTEM AND METHOD FOR AUTOMATICALLY DETECTING A MURA DEFECT USING MORPHOLOGICAL IMAGE PROCESSING AND LABELING

机译:利用形态图像处理和标签自动检测村落缺陷的系统和方法

摘要

The present invention relates to a system and a method to automatically detect a stain defect using morphological image processing and labeling. The system comprises: an image obtaining part obtaining an image of an object; a pre-processing part removing a lighting component from the image, obtained by the image obtaining part, using morphological image processing; an image processing port including a histogram smoothing part reforming the image by expanding a histogram of the image, of which lighting component is removed by the pre-processing part, to an entire gray level through histogram-smoothing after obtaining the histogram of the image; and an image analyzing part including a stain candidate generating part, forming a stain candidate area by applying a Gabor filter to the image converted by the image processing part, and a stain detecting part detecting a stain using labeling in the stain candidate area formed by the stain candidate generating part. As such, the system and method are capable of having high detectability and reliability.
机译:本发明涉及一种使用形态图像处理和标记自动检测污渍缺陷的系统和方法。该系统包括:图像获取部分,其获取对象的图像;以及预处理部使用形态图像处理从由图像获取部获取的图像中去除照明成分;图像处理端口包括直方图平滑部分,该直方图平滑部分通过在获得图像的直方图之后通过直方图平滑来将通过预处理部分去除了照明成分的图像的直方图扩展到整个灰度级来对图像进行重整;图像分析部包括污点候选生成部,通过对图像处理部转换后的图像应用Gabor滤波器来形成污点候选区域,并且污点检测部在由污点候选区域形成的污点候选区域中使用标记来检测污点。污点候选生成部分。这样,该系统和方法能够具有高可检测性和可靠性。

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