【摘要】 手机盖板玻璃瑕疵检测主要分为图像获取、图像预处理、图像分割和瑕疵分类这几个步骤。由于高质量图像获取难度大，接下来的图像预处理就会显得尤其重要。传统的滤波方法在处理图像噪声时，都或多或少对图片产生一定的模糊，损失部分有效信息，通常噪声的存在会使得附近邻域内的极值上下差距较大，所以滤波变成不可或缺的步骤。改进传统的中值滤波，通过判断目标像素点是否需要进行滤波处理的办法，增强图像的同时，使得有用瑕疵信息的损失降低。在滤波处理后用直方图均衡化对图像进一步处理，起到图像增强的效果。相比于传统的中值滤波，该方法不仅会保留瑕疵边缘信息，同时图像增强后的效果也更好。更多还原

【Abstract】 The defect detection of mobile phone cover glass is mainly divided into several steps : image acquisition, image preprocessing, image segmentation and defect classification. Due to the difficulty of obtaining high-quality images, the subsequent image preprocessing will be particularly important. Traditional filtering methods, when dealing with image noise, more or less blur the picture and lose part of the effective information. Usually the presence of noise will make the extreme value in the nearby neighborhood have a large gap between the upper and lower extremes, so filtering becomes an indispensable step. This paper improves the traditional median filter, by judging whether the target pixel needs to be filtered, while enhancing the image, it reduces the loss of useful defect information. This article uses histogram equalization to further process the image after the filtering process, which has the effect of image enhancement. Compared with the traditional median filtering, this method not only preserves the edge information of the flaws, but also has better image enhancement effects.更多还原