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这是基于图像处理，用MATLAB编程，对指定的图像进行缺陷检测和边缘提取的程序-This is based on image processing, using MATLAB programming, the images on the specified defect detection and edge extraction procedures
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国外织物疵点分类 图像处理中用到bp 神经网络算法-Fabric Defect Classification abroad used in image processing bp neural network algorithm
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基于纹理的形状恢复和纹理的应用,利用离散小波框架模极值共生距阵的分类算法，能够很好的修得复大块缺损的图像-Based on the shape and texture, using the texture application framework of discrete wavelet modulus maximum symbiosis of classification algorithm is very good, can you answer large defect image
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缺陷识别m文件，对缺陷图像进行中值，小波去噪，利用数学形态学方法提取二进制图像轮廓，并计算裂纹等缺陷的面积和周长-M file defect identification, the value of the defect in the image, wavelet denoising, using mathematical morphology to extract the binary image contour, and calculates the cracks and other def
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可以用来检测焊缝缺陷，并通过图象处理检测出缺陷。-Can be used to detect weld defects and the defect was detected by image processing.
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matlab图像处理代码（包括：图像增强、图像分割、缺陷提取）-matlab image processing code (including: image enhancement, image segmentation, defect extraction)
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用matlab实现的表面质量检测的程序，主要检测图像缺陷，并标示出缺陷位置，工业生产过程中亦都有用。-Using matlab to achieve the surface quality inspection procedures, the main defect detected image, and mark the location of the defect, the industrial production process also has a use.
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Its a matlab code for extracting the statistical first order features of image to create a database.
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而路面结构性破损是最常见的，可以细分为龟裂、块裂、网裂、纵裂和横裂。提供的道路缺陷图像，运用 MATLAB 图形图像处理工具箱进行图形处理-Road defect categories can be subdivided into the cracks, the block splitting network cracking, longitudinal and transverse cracking. Rely on the defect image given by the Appendix
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在MATLAB下的图像处理程序，通过对pcb参数的设定，对比图片，将pcb电路板的缺陷检测出来-In the MATLAB image processing procedures, through the PCB parameter settings, contrast images, the PCB circuit board defect detection
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对图像进行边缘提取,能够对图像边缘提取更加精确，判断图像缺陷的位置(Hough can be able to extract more accurate image edge, and judge the position of image defect)
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基于结构的图像修复，能够对小部分的缺陷进行修复(The image inpainting based on structure can repair a small part of the defect)
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应用数字图像处理技术对采集到的木材缺陷图像进行预处理，运用数学形态学腐蚀膨胀等运算填补缺陷中的空洞来提取缺陷目标图像(Using digital image processing technology to preprocess the collected wood defect images, use mathematical morphology corrosion expansion and other operations to fill holes in the defects to
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基于MATLAB的工业瑕疵缺陷检测，采用工业板图像作为素材。利用灰度化，二值化，边缘提取，形态学运算等方法，检测并标出出瑕疵所在位置，计算出各个块面积。设计了一个UI界面，显示瑕疵个数和面积等参数。(Industrial defect detection based on MATLAB, using industrial plate image as material.
Using gray, binarization, edge extraction, morphological operat
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