#include <opencv2/opencv.hpp>
#include<iostream>
#include<string>
using namespace cv;
using namespace std;
//输入图像
Mat img;
//灰度值归一化
Mat bgr;
//HSV图像
Mat hsv;
//色相
string windowName = "src";
//输出图像的显示窗口
string dstName = "dst";
//输出图像
Mat dst;
Mat mask;
//回调函数
int main(int argc, char** argv)
{
//输入图像
img = imread("G:\text.jpg");
if (!img.data || img.channels() != 3)
return -1;
dst = Mat::zeros(img.size(), img.type());
bgr = img.clone();
//颜色空间转换
cvtColor(bgr, hsv, CV_BGR2HSV);
inRange(hsv, Scalar(35, 43, 46), Scalar(77, 255,255), mask);
//掩模到原图的转换
for (int r = 0; r < bgr.rows; r++)
{
for (int c = 0; c < bgr.cols; c++)
{
if (mask.at<uchar>(r, c) == 255)
{
dst.at<Vec3b>(r, c) = bgr.at<Vec3b>(r, c);
}
}
}
//定义输出图像的显示窗口
namedWindow(dstName, WINDOW_GUI_EXPANDED);
/*Mat gay;
cvtColor(gay, gay, COLOR_RGB2GRAY);*/
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
findContours(mask, contours, hierarchy, RETR_CCOMP, CHAIN_APPROX_SIMPLE);
for (int i = 0; i < contours.size(); i++)
{
RotatedRect box = minAreaRect(contours[i]);
Point2f vertex[4];
box.points(vertex);
for (int i = 0; i < 4; i++)
line(img, vertex[i], vertex[(i + 1) % 4], Scalar(100, 200, 211), 2, LINE_AA);
}
imshow(windowName, img);
imshow(dstName, dst);
waitKey(0);
return 0;
}