MAtlib 的 cvAdaptiveThreshold 局部二值化

心已赠人 2022-09-25 06:30 119阅读 0赞

1 MAtlib如何调用opencv函数

[MATliB和opencv混编][MATliB_opencv]  教程

注意安装Matlab的视觉包，很简单

[视频教程安装][Link 1]

windows 只需要在matlab 运行visionSupportPackages指令 然后next 注意其中有一步选择 interface opencv

2  直接上代码  cvAdaptiveThreshold

// Interface: cvAdaptiveThreshold
    // Author : zhang
    // Date   : 2016-08-15
     
    // CVAPI(void)  cvAdaptiveThreshold( const CvArr* src, CvArr* dst, double max_value,
    //                                   int adaptive_method CV_DEFAULT(CV_ADAPTIVE_THRESH_MEAN_C),
    //                                   int threshold_type CV_DEFAULT(CV_THRESH_BINARY),
    //                                   int block_size CV_DEFAULT(3),
    //                                   double param1 CV_DEFAULT(5));
    //bw=cvAdaptiveThreshold(im,25,5);
    #include "opencvmex.hpp"
    using namespace cv;
    
    void checkInputs(int nrhs, const mxArray *prhs[])
    {
        if ((nrhs != 3))
        {
            mexErrMsgTxt("Incorrect number of inputs. Function expects 3 inputs.\n Usage: [CvArr* dst] = cvAdaptiveThreshold(const CvArr* src,block_size,param1);\n");
            return ;
        }
        
    }
    void mexFunction (int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
    {
        checkInputs(nrhs, prhs);
        cv::Ptr<cv::Mat> gray_mat = ocvMxArrayToImage_uint8(prhs[0], true);
        int  blockSize = *(mxGetPr(prhs[1]));
        int constValue = *(mxGetPr(prhs[2]));
     
        IplImage pImg= IplImage(*gray_mat);
        IplImage *outputImg = cvCreateImage(cvGetSize(&pImg), IPL_DEPTH_8U, 1);
    	cvAdaptiveThreshold(&pImg, outputImg, 255, CV_ADAPTIVE_THRESH_GAUSSIAN_C, CV_THRESH_BINARY_INV, blockSize, constValue);
        
        cv::Mat out_mat(outputImg);
        int rows = out_mat.rows;
    	int cols = out_mat.cols;
    	plhs[0] = mxCreateDoubleMatrix(rows, cols, mxREAL);
    	double *imgMat;
        imgMat = mxGetPr(plhs[0]);
    	for (int i = 0; i < rows; i++)
    		for (int j = 0; j < cols; j++)
    			*(imgMat + i + j * rows) = (double)out_mat.at<uchar>(i, j);
        cvReleaseImage(&outputImg);
        return;
    }

3 使用：因为使用了opencv所以需要配置相应的opencv库

[非常棒的一个类似makefile的make文件][makefile_make]

4  当成功生成文件：cvAdaptiveThreshold.mexw64

5  使用函数：

singeChannelimg=imread(singeChanneimagepath);
     bw=cvAdaptiveThreshold(singeChannelimg,25,5);

[MATliB_opencv]: http://www.cnblogs.com/lukylu/p/3966871.html
[Link 1]: https://cn.mathworks.com/videos/using-opencv-with-matlab-97710.html
[makefile_make]: http://blog.csdn.net/zouxy09/article/details/20553007