opencv图像的读入、灰度化、二值化、反色

平台 win7+vs2010+opencv2.4.9

#include   
#include
using namespace std;
using namespace cv;
void main(int argc, char* argv[])   
{
    printf("hello word!\n");


    IplImage *src;
    src = cvLoadImage("D:\\文件夹\\image.jpg"); //这里将lena.jpg和lena.cpp文件放在同一个文件夹下
    cvNamedWindow("src",CV_WINDOW_AUTOSIZE);
    cvMoveWindow("src",0,50);
    cvShowImage("src",src);


    //图像灰度化  
    IplImage* gray_image = cvCreateImage(cvGetSize(src),8,1);  
    cvCvtColor(src,gray_image,CV_BGR2GRAY);
    cvNamedWindow("gray",CV_WINDOW_AUTOSIZE);
    cvMoveWindow("gray",100,100);
    cvShowImage("gray",gray_image);


    //-----------------------------------------二值图像-----------------------------------------//

    //图像二值化
    IplImage*bw_image = cvCreateImage(cvGetSize(gray_image),IPL_DEPTH_8U, 1);
    double max_val = 255; //阈值化后的最大值
    cvThreshold(gray_image, bw_image, 0, max_val , CV_THRESH_OTSU); //调用OTSU算法的参数设置
    cvNamedWindow("bw",CV_WINDOW_AUTOSIZE);
    cvMoveWindow("bw",200,150);
    cvShowImage("bw",bw_image);


    //-----------------------------------------反色图像-----------------------------------------//


    //二值图像反色
    int ivs_height ,ivs_width ,ivs_step ,ivs_channel ;
    int ivs_i,ivs_j,ivs_k;
    uchar*data ;
    uchar*ivs_data ;
    IplImage*ivs_image = cvCreateImage(cvGetSize(gray_image),IPL_DEPTH_8U, 1);

    ivs_height    = bw_image->height;
    ivs_width     = bw_image->width;
    ivs_step      = bw_image->widthStep/sizeof(uchar);
    ivs_channel = bw_image->nChannels;
    data   = (uchar*)bw_image->imageData;
    printf("Processing a %d X %d image with %d channel!\n",ivs_height,ivs_width,ivs_channel);


    ivs_data = (uchar*)ivs_image->imageData;


    // 反色图像
    for(ivs_i=0;ivs_i

}

注意：若是vc6.0+opencv1.0的平台，只需修改头文件，以上代码是本人，从vc6.0+opencv1.0平台，转移到vs2010+opencv2.4.4平台的，都已运行成功