[人工智能]opencv的部分图像处理及其有关C++代码（仅供参考）

一、图像腐蚀

#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
using namespace cv;
int main()
{
	Mat srcImage = imread("C:\\Users\\挽笙\\Desktop\\1.jpg");
	imshow("[原图]腐蚀操作", srcImage);
	Mat element = getStructuringElement(MORPH_RECT, Size(15, 15));
	Mat dstImage;
	erode(srcImage, dstImage, element);
	imshow("[效果图]腐蚀操作",dstImage);
	waitKey(0);
	return(0);
}

二、图像旋转

通过角度和中心点旋转图片

#include<iostream>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;

int test1()
{
    Mat img1, img2,img3;
    img2 = cv::Mat(640, 480,CV_8UC3);
    img1 = imread("D://images//opencv测试图片//1.jpg");
    if (img1.empty())
    {
        return -1;
    }

    int width1 = img1.rows;
    int height1 = img1.cols;

    std::cout << "w:" << width1 << "     h1:" << height1<<std::endl;

    double angle = 90.0;  //角度
    double scale = 1.0;  //缩放系数
    
    cv::transpose(img1, img2);
    cv::flip(img2, img2, 1);   //1:90    0：-90   -1：180

    int width2 = img2.rows;
    int height2 = img2.cols;
    std::cout << "w:" << width2 << "     h1:" << height2 << std::endl;
    
    imshow("win1", img1);
    imshow("win2", img2);

    imwrite("D://images//opencv测试图片//img20.jpg", img2);

    return 0;
}

int main()
{
    test1();

    waitKey(0);
    return 0;
}

三、图像颜色识别

#include <opencv2\core\core.hpp>
#include <opencv2\highgui\highgui.hpp>
#include <opencv2\opencv.hpp>
 
using namespace cv;
 
int alpha_slider1, alpha_slider2;
void on_trackbar(int, void*) {}
 
int main()
{
	VideoCapture capture(0);	// 从摄像头读入视频
	namedWindow("[总]");
	createTrackbar("Hmin", "[总]", &alpha_slider1, 180, on_trackbar);
	createTrackbar("Hmax", "[总]", &alpha_slider2, 180, on_trackbar);
	Mat frame; // 定义一个Mat变量，用于存储每一帧的图像
	Mat HSV;
	Mat mask; // 保存inRange后的值
	while (1)
	{
		capture >> frame;  // 读取当前帧    
		cvtColor(frame, HSV, COLOR_BGR2HSV);	// 转化为HSV					
		inRange(HSV, Scalar(alpha_slider1, 43, 46), Scalar(alpha_slider2, 255, 255), mask);
		imshow("保存", mask);
		imshow("[总]", frame);
		waitKey(30); // 延时30ms
	}
	return 0;
}