轮廓周围绘制矩形
approxPolyDP(InputArray curve, OutputArray approxCurve, double epsilon, bool closed)
基于RDP算法实现,目的是减少多边形轮廓点数
cv::boundingRect(InputArray points)得到轮廓周围最小矩形左上交点坐标和右下角点坐标,绘制一个矩形
cv::minAreaRect(InputArray points)得到一个旋转的矩形,返回旋转矩形
cv::minEnclosingCircle(InputArray points, //得到最小区域圆形
Point2f& center, // 圆心位置
float& radius)// 圆的半径
cv::fitEllipse(InputArray points)得到最小椭圆
#include "pch.h"
#include
#include
#include
using namespace std;
using namespace cv;
Mat src, gray_src, drawImg;
int threshold_v = 170;
int threshold_max = 255;
const char* output_win = "rectangle-demo";
RNG rng(12345);
void Contours_Callback(int, void*);
int main(int argc, char** argv) {
src = imread("D:/cir.png");
if (!src.data) {
printf("could not load image...\n");
return -1;
}
cvtColor(src, gray_src, CV_BGR2GRAY);
blur(gray_src, gray_src, Size(3, 3), Point(-1, -1));
const char* source_win = "input image";
namedWindow(source_win, CV_WINDOW_AUTOSIZE);
namedWindow(output_win, CV_WINDOW_AUTOSIZE);
imshow(source_win, src);
createTrackbar("Threshold Value:", output_win, &threshold_v, threshold_max, Contours_Callback);
Contours_Callback(0, 0);
waitKey(0);
return 0;
}
void Contours_Callback(int, void*) {
Mat binary_output;
vector> contours;
vector hierachy;
threshold(gray_src, binary_output, threshold_v, threshold_max, THRESH_BINARY);
//imshow("binary image", binary_output);
findContours(binary_output, contours, hierachy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(-1, -1));
vector> contours_ploy(contours.size());
vector ploy_rects(contours.size());
vector ccs(contours.size());
vector radius(contours.size());
vector minRects(contours.size());
vector myellipse(contours.size());
for (size_t i = 0; i < contours.size(); i++) {
approxPolyDP(Mat(contours[i]), contours_ploy[i], 3, true);
ploy_rects[i] = boundingRect(contours_ploy[i]);
minEnclosingCircle(contours_ploy[i], ccs[i], radius[i]);
if (contours_ploy[i].size() > 5) {
myellipse[i] = fitEllipse(contours_ploy[i]);
minRects[i] = minAreaRect(contours_ploy[i]);
}
}
// draw it
drawImg = Mat::zeros(src.size(), src.type());
Point2f pts[4];
for (size_t t = 0; t < contours.size(); t++) {
Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));
//rectangle(drawImg, ploy_rects[t], color, 2, 8);
//circle(drawImg, ccs[t], radius[t], color, 2, 8);
if (contours_ploy[t].size() > 5) {
ellipse(drawImg, myellipse[t], color, 1, 8);
minRects[t].points(pts);
for (int r = 0; r < 4; r++) {
line(drawImg, pts[r], pts[(r + 1) % 4], color, 1, 8);
}
}
}
imshow(output_win, drawImg);
return;
}