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5下载:
自己现在在做的论文用到灰度共生矩阵,找了好久都没找到很好用的,所以自己就编了个,不很完美,但绝对可用,已经实现过。包括灰度共生矩阵的生成以及一些特征参数。f1,二阶距。f2,对比度。f3,相关。f5,逆差距。f6,和平均。f7,和方差。f9,差平均。f10,差方差。请不吝赐教。,Now do their own papers in the gray co-occurrence matrix used to find for a long time to find no good use, so
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用c++语言来写的求矩阵的逆,比MATLAB来说,略显的有一点复杂-With c++ language to write the inverse matrix of demand than MATLAB, the bit' s a little complicated
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1.对一个256*256的图像进行DCT变换得到图像D,将D得斜下角数值置为零,然后进行DCT反变换.
2.对源图像进行K-L转换
1和2比较-1.Get a grey level image which size is N*N. (For example, 256*256, however,
N = ), and partition to 8*8 sub images.
2.. Apply DCT to these sub images, and get the transfo
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矩阵相乘和求逆,矩阵求逆进行LV分解,测试结果与matlab一样-Matrix multiplication and inverse, matrix inverse to LV decomposition, the same test results with matlab
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用于将视频文件转换成帧图像、帧图像转换为mat语言等(Converts a video file to a frame image, then converts it into a number matrix and the inverse process)
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