//鼠标点击事件#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>
#include <stdio.h>//全局变量
cv::Mat srcImage;
void MouseEvent(int event, int x, int y, int flags, void* data)
{char charText[30];cv::Mat tempImage, hsvImage;tempImage = srcImage.clone();//// 左键按下移动显示RGB信息//if (event == CV_EVENT_LBUTTONDOWN){cv::Vec3b p = tempImage.at<cv::Vec3b>(y,x);sprintf(charText, "R = %d, G = %d, B = %d", p[2], p[1], p[0]);// 写RGB信息文本到图像cv::putText(tempImage, charText, cv::Point(8,20),  cv::FONT_HERSHEY_COMPLEX, 2, CV_RGB(0,0,255));imwrite("c.jpg",tempImage);}//// 右键按下移动显示HSV信息//else if (event == CV_EVENT_RBUTTONDOWN){// 转换成HSV图像cv::cvtColor(tempImage, hsvImage, CV_BGR2HSV);cv::Vec3b p = hsvImage.at<cv::Vec3b>(y,x);// 获取相应的通道值sprintf(charText, "H = %d, S = %d, V = %d", p[0], p[1], p[2]);// 写HSV文本信息到图像cv::putText(tempImage, charText, cv::Point(8,20), cv::FONT_HERSHEY_PLAIN, 2, CV_RGB(0,255,0));imwrite("d.jpg",tempImage);}//// 没有按下键显示对应坐标//else{// 移动鼠标显示坐标sprintf(charText, "x = %d, y = %d", x, y);// 写X Y坐标文本信息到图像cv::putText(tempImage, charText, cv::Point(8,20), cv::FONT_HERSHEY_PLAIN, 2, CV_RGB(255,0,0));imwrite("e.jpg",tempImage);}}int main(int argc, char** argv)
{// 读取图像及判断是否正确读入srcImage = cv::imread("a.jpg");if (srcImage.empty())return -1;// 回调事件响应cv::namedWindow("srcImage");cv::setMouseCallback("srcImage", MouseEvent, 0);cv::imshow("srcImage", srcImage);cv::waitKey(0);return 0;
}

// 滑动条二值化#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <iostream>//createTrackbar的回调响应函数
void onChangeTrackBar(int pos, void* data)
{// 强制类型转换cv::Mat srcImage = *(cv::Mat*)(data);cv::Mat dstImage;// 根据滑动条的值进行二值化cv::threshold(srcImage, dstImage, pos, 255, 0);cv::imshow("dyn_threshold", dstImage);
}int main()
{// 源图像载入及判断cv::Mat srcImage = cv::imread("a.jpg");if (!srcImage.data)return -1;//转换为灰度图像cv::Mat srcGray;cv::cvtColor(srcImage, srcGray, CV_RGB2GRAY);cv::namedWindow("dyn_threshold");cv::imshow("dyn_threshold", srcGray);//创建滑动条createTrackbar,调用回调函数createTrackbar("pos", "dyn_threshold", 0, 255, onChangeTrackBar, &srcGray);cv::waitKey(0);return 0;}

#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <iostream>// 全局变量源图像
cv::Mat srcImage;// 方法1:利用Rect选择区域(100, 180, 150, 50)
void regionExtraction(int xRoi, int yRoi, int widthRoi, int heightRoi)
{// 提取指定坐标区域cv::Mat roiImage(srcImage.rows, srcImage.cols, CV_8UC3);std::cout << srcImage.rows << " " << srcImage.cols << std::endl;// 将兴趣区域复制到目标图像srcImage(cv::Rect(xRoi, yRoi, widthRoi, heightRoi)).copyTo(roiImage);cv::imshow("roiImage", roiImage);cv::waitKey(0);
}int main()
{// 源图像载入及判断srcImage = cv::imread("a.jpg");if (!srcImage.data)return -1;cv::imshow("ROIing", srcImage);// 方法1:利用Rect选择区域(100,180,150,50)int xRoi = 100;int yRoi = 180;int widthRoi = 150;int heightRoi = 50;regionExtraction(xRoi, yRoi, widthRoi, heightRoi);cv::waitKey(0);return 0;
}

#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>
#include <stdio.h>using namespace cv;
using namespace std;//全局变量
cv::Mat srcImage;//所选矩形区域
cv::Rect roiRect;//起始点
cv::Point startPoint;//终止点
cv::Point endPoint;//完成所选区域标志位
bool downFlag = false;
bool upFlag = false;void MouseEvent(int event, int x, int y, int flags, void* data)
{// 鼠标左键按下 获取起始点if (event == EVENT_LBUTTONDOWN){downFlag = true;startPoint.x = x;startPoint.y = y;}// 鼠标拖到松开 获取终止点if (event == EVENT_LBUTTONUP){upFlag = true;endPoint.x = x;endPoint.y = y;}// 显示拖到图像区域if (downFlag == true && upFlag == false){Point tempPoint;tempPoint.x = x;tempPoint.y = y;// 用于显示图像生成cv::Mat tempImage = srcImage.clone();cv::rectangle(tempImage, startPoint, tempPoint, Scalar(255,0,0), 2, 3, 0);cv::imshow("ROIing", tempImage);}// 选择区域生成if (downFlag == true && upFlag == true){// 获取选择区域的ROIroiRect.width = abs(startPoint.x - endPoint.x);roiRect.height = abs(startPoint.y - endPoint.y);roiRect.x = min(startPoint.x, endPoint.x);roiRect.y = min(startPoint.y, endPoint.y);cv::Mat roiMat(srcImage, roiRect);imshow("ROI", roiMat);downFlag = false;upFlag = false;}cv::waitKey(0);
}int main(int argc, char** argv)
{// 读取图像及判断是否正确读入srcImage = cv::imread("a.jpg");if (srcImage.empty())return -1;// 回调事件响应cv::namedWindow("ROIing");cv::imshow("ROIing", srcImage);cv::setMouseCallback("ROIing", MouseEvent, 0);cv::waitKey(0);return 0;
}