Canny边缘检测及图像缩放之图像处理算法-OpenCV应用学习笔记四

#include "stdafx.h"
#include"cv.h"
#include"highgui.h"

/*            定义图像放缩函数doPyrDown（原图像，高斯5*5滤波器）                    */
IplImage* doPyrDown(IplImage* in,int filter = CV_GAUSSIAN_5x5)
{
    IplImage* out = cvCreateImage(cvSize(in->width/2,in->height/2),in->depth,in->nChannels);
    /*使用Gaussian金字塔分解输入图像向下采样*/
    /*首先该函数与内核卷积，然后向下采样删除偶数行列信息*/
    cvPyrDown(in,out);
    return(out);
};

/* 定义边缘检测函数doCanny(原图像，若边缘连接阈值，强边缘分割阈值，索贝尔算子内核尺寸) */
IplImage* doCanny(IplImage* in,double lowThresh,double highThresh,double aperture)
{
    if(in->nChannels != 1)//仅支持单通道图像
    return(0);
    IplImage* out = cvCreateImage(cvGetSize(in),IPL_DEPTH_8U,1);

    //找输入图像的边缘并输出图像中标识着这些边缘
    cvCanny(in ,out,lowThresh,highThresh,aperture);
    return(out);
};

int _tmain(int argc, _TCHAR* argv[])
{
    IplImage* in = cvLoadImage("lena.jpg",0); //载入原图像
    IplImage* img1 = doPyrDown( in, CV_GAUSSIAN_5x5);//图像尺寸缩小一半
    IplImage* img2 = doPyrDown(img1,CV_GAUSSIAN_5x5);//继续缩小一半
    IplImage* img3 = doCanny(img2,10,100,3);//边缘检测

    cvNamedWindow("in");
    cvNamedWindow("i1");
    cvNamedWindow("i2");
    cvNamedWindow("i3");

    cvShowImage("in",in);
    cvShowImage("i1",img1);
    cvShowImage("i2",img2);
    cvShowImage("i3",img3);
    cvWaitKey(0);
    cvDestroyWindow("in");
    cvDestroyWindow("i1");
    cvDestroyWindow("i2");
    cvDestroyWindow("i3");
    return 0;
}