我试图在MATLAB中为彩色图像建立一个基于内容的图像检索系统,并且正在使用一个千米算法,为我的数据库中的图像提取特征矢量。 每个图像有四个组别,每个组都有彩色(R,G,B)和位置(X,Y)的信息。
我现在试图在我各组别中增加一个文字特征,为此需要使用灰色层共同存在矩阵。 我知道,GLCM只是一个迹象,表明某个灰色层会出现在另一层,并为我的图像创造了GLCM。
I am unclear about how to map the GLCM to the original image (and thus its clusters), since GLCM talks about pairs of pixels, and I would like each X,Y position to have texture information. How does one go about translating GLCM to pixels?
GLCM的输出似乎是一种T-by-T矩阵,T是图形中独一无二的射线级数。 因此,这一矩阵的规模并不真正取决于你的形象大小。 该矩阵还描述了整个图像的正文,因此,将政府对地静止轨道数据与单一图纸联系起来是特别有意义的。
各位可以赞扬政府对个别组别的全球LCM,因为这将描述该组的案文? 我想graycomatrix。 需要有直观的形象,但你可以找到每个组别的捆绑箱,并分别从中选取GLCM。
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