1.缩放
void resize(InputArray src, OutputArray dst, Size dsize, double fx=0, double fy=0, int interpolation=INTER_LINEAR)
实例:改变图片尺寸
#include <opencv2/opencv.hpp>
#include <stdlib.h>
using namespace cv;
int main(void)
{
const char *name = "D:\project_opencv\_media\1.jpg";
Mat srcImage = imread(name);
imshow("show src", srcImage);
Mat dstImage;
resize(srcImage,dstImage,Size(200,300));
imshow("show resize", dstImage);
waitKey(0);
exit(EXIT_SUCCESS);
}
2.平滑
高斯模糊接口
void GaussianBlur( const Mat& src, Mat& dst, Size ksize,double sigmaX, double sigmaY=0,
int borderType=BORDER_DEFAULT );
实例:高斯模糊效果
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
using namespace cv;
int main()
{
Mat srcImage = imread("D:\project_opencv\_media\1.jpg");
//imshow("avarage filter resource", srcImage);
waitKey(1000);
Mat dstImage;
GaussianBlur(srcImage, dstImage, Size(7,7), 100);
imshow("avarage filter effect", dstImage);
waitKey(0);
//return 0;
}
3.颜色空间转换和阈值化
void cvtColor(InputArray src, OutputArray dst, int code,int dstCn=0);
void threshold(InputArray src, OutputArray dst, double thresh, double maxval, int type);
实例:颜色转换
#include <opencv2/opencv.hpp>
#include <stdlib.h>
using namespace cv;
int main(void)
{
const char *name = "D:\project_opencv\_media\1.jpg";
Mat srcImage = imread(name);
imshow("show src", srcImage);
Mat dstImage;
cvtColor(srcImage, dstImage, 10);
imshow("show dst", dstImage);
waitKey(10000);
exit(EXIT_SUCCESS);
}