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glcm feature extraction for mammogram images
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图像纹理特征描述了在图像中反复出现的局部模式和它们的排列规则,反应宏观意义上灰度变化的一些规律,编程实现基于灰度共生矩阵的图像纹理特征提取-Image texture features described in the repeated images of local models and their regular arrangement, the reaction intensity changes in the macro sense, some laws, programming, GL
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基于OpenCV和VS2008的图像灰度共生矩阵特征提取实现。文件中还有matlab版本的-Images based on OpenCV and VS2008 GLCM feature extraction achieved. Matlab version of the file there
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第一个程序提取了图像灰度级为64的灰度共生矩阵,并计算了能量,熵,对比度,相关性,逆差矩这5个参数.第二个程序可以提取彩色图像的LBP纹理特征,可以提取采样点为8、16、24的统一模式(u2)、旋转不变模式(ri)、统一旋转不变模式(riu2)的LBP值。-The first program to extract a grayscale image GLCM 64, and calculate the energy, entropy, contrast, correlation, inverse
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在matlab的gui中通过灰度共生矩阵对两张图片进行处理,特征提取,特征匹配,最终判定两张痕迹图片是不是出于同一工具造成-In the gui in matlab for two images by GLCM processing, feature extraction, feature matching, the final determination of two trace picture is not the cause for the same tool
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这是一篇关于图像纹理特征提取的期刊,文中结合了LBP和GLCM两种基本的纹理算法,对于做纹理提取的同学有一定的帮助-This is a feature extraction of images on the image of the journal, the text of the combination of LBP and GLCM two kinds of basic texture algorithm, for the students to do texture extraction
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将RGB图像转化成灰度图像,并利用灰度共生矩阵计算熵特征图像。-RGB image is converted to grayscale images, and calculate the entropy feature image use GLCM.
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