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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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Its a matlab code for extracting the statistical first order features of image to create a database.
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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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