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基于从Gabor中提取的特征的聚类纹理

我正在尝试根据从我创建的Gabor库中提取的特征来聚类纹理,但结果远不是通常所期望的,所以这就是我正在做的事情>>

1 - 生成一个滤波器组(根据Miki的答案,我得到了实部和虚部,以便我以后可以提取幅度特征)

void Gabor::generateFilterbank(int bankRows,int bankCols)
{
    bankCol=bankCols;
    bankRow=bankRows;
    setBankSize();

    int thetaStep=pos_th_max/bankCols;
    int lambadaStep=(pos_lm_max/bankRows) /10;

    for (int i = 1; i <= bankRows; i++)    // cols = theta  rows = lambda
        for (int j = 1; j <= bankCols; j++ )
        {
            int ks=(kernel_size-1)/2;
            Size KernalSize(ks,ks);
            double Sigma = pos_sigma;
            double Lambda = 0.5+(i*lambadaStep);
            double Theta = (j*thetaStep)*CV_PI/180;
            double psi = pos_psi;//*CV_PI/180
            double Gamma = 0;
            vector<Mat> realImag;
            realImag.push_back(getGaborKernel(KernalSize,Sigma,Theta,Lambda,Gamma,psi,CV_32F));//real
            realImag.push_back(getGaborKernelImag(KernalSize,Sigma,Theta,Lambda,Gamma,psi,CV_32F));//imag
            Kernels.push_back(realImag);
         }

}
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2过程输入图像

void Gabor::process(Mat …
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opencv textures k-means pca gabor-filter

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