OpenCV学习笔记——多种Smooth平滑处理-C++-IT72.COM

OpenCV学习笔记——多种Smooth平滑处理

Home / C++ MrLee 2017-2-7 3294

opencv库提供了好几种模糊平滑Smooth操作的类型作为cvSmooth的参数传入，从而达到不同的平滑效果，另外复习了一下如何复制一份图像和重新调整图像大小。
调整图像大小目前是按照一下步骤进行：
1、先cvcreate一个新的图像，cvcreate中的参数设为调整之后的大小（用Cvsize的构造函数封装代入）
2、然后再用cvresize把原图像输入到刚才构造的已设定好尺寸的图像中
代码：

#include<cv.h>
#include<highgui.h>
//多种smooth的样例
int main(void)
{
    IplImage *ori_src = cvLoadImage("cc.jpg");
    IplImage *src = cvCreateImage(CvSize(ori_src->width>>1,ori_src->height>>1), ori_src->depth, ori_src->nChannels);
 
    cvResize(ori_src, src, CV_INTER_LINEAR);
 
    IplImage *dst_blur = cvCreateImage(cvGetSize(src), src->depth, src->nChannels);
    IplImage *dst_blur_no_scale= cvCreateImage(cvGetSize(src), src->depth, src->nChannels);
    IplImage *dst_gaussian = cvCreateImage(cvGetSize(src), src->depth, src->nChannels);
    IplImage *dst_medeian= cvCreateImage(cvGetSize(src), src->depth, src->nChannels);
    IplImage *dst_bilateral = cvCreateImage(cvGetSize(src), src->depth, src->nChannels);
     
    cvNamedWindow("Orignal",CV_WINDOW_AUTOSIZE);
    cvNamedWindow("Cvsmooth_blur");
    cvNamedWindow("Cvsmooth_blur_no_scale");
    cvNamedWindow("Cvsmooth_gaussian");
    cvNamedWindow("Cvsmooth_medeian");
    cvNamedWindow("Cvsmooth_bilateral");
 
    cvSmooth(src, dst_blur, CV_BLUR, 3, 3, 0, 0);
    cvSmooth(src, dst_blur_no_scale, CV_BLUR_NO_SCALE, 3, 3, 0, 0);
    cvSmooth(src, dst_gaussian, CV_GAUSSIAN, 3, 3, 0, 0);
    cvSmooth(src, dst_medeian, CV_MEDIAN, 3, 3, 0, 0);
    cvSmooth(src, dst_bilateral, CV_BILATERAL, 3, 3, 0, 0);
         
    cvShowImage("Orignal", src);
    cvShowImage("Cvsmooth_blur", dst_blur);
    cvShowImage("Cvsmooth_bur_no_scale", dst_blur_no_scale);
    cvShowImage("Cvsmooth_gaussian", dst_gaussian);
    cvShowImage("Cvsmooth_medeian", dst_medeian);
    cvShowImage("Cvsmooth_bilateral", dst_bilateral);
 
    cvWaitKey(0);
 
    cvDestroyAllWindows();
    cvReleaseImage(&ori_src);
    cvReleaseImage(&src);
    cvReleaseImage(&dst_blur);
    cvReleaseImage(&dst_blur_no_scale);
    cvReleaseImage(&dst_gaussian);
    cvReleaseImage(&dst_medeian);
    cvReleaseImage(&dst_bilateral);
    return 0;
}

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