你好peeps我已经开发了一个软件来绘制输入图像的轮廓,现在我不会把它带到一个新的水平,并在感兴趣的物体周围绘制边界框,即一个人。我查看了boundingRect()函数,但我很难理解它。也许有不同的函数算法绘制Bounding Box .....?
以下是我的程序代码:
#include "iostream"
#include<opencv\cv.h>
#include<opencv\highgui.h>
#include<opencv\ml.h>
#include<opencv\cxcore.h>
#include <iostream>
#include <string>
#include <opencv2/core/core.hpp> // Basic OpenCV structures (cv::Mat)
#include <opencv2/highgui/highgui.hpp> // Video write
using namespace cv;
using namespace std;
Mat image; Mat image_gray; Mat image_gray2; Mat threshold_output;
int thresh=100, max_thresh=255;
int main(int argc, char** argv) {
//Load Image
image =imread("C:/Users/Tomazi/Pictures/Opencv/tomazi.bmp");
//Convert Image to gray & blur it
cvtColor( image,
image_gray,
CV_BGR2GRAY );
blur( image_gray,
image_gray2,
Size(3,3) );
//Threshold Gray&Blur Image
threshold(image_gray2,
threshold_output,
thresh,
max_thresh,
THRESH_BINARY);
//2D Container
vector<vector<Point>> contours;
//Fnd Countours Points, (Imput Image, Storage, Mode1, Mode2, Offset??)
findContours(threshold_output,
contours, // a vector of contours
CV_RETR_EXTERNAL,// retrieve the external contours
CV_CHAIN_APPROX_NONE,
Point(0, 0)); // all pixels of each contours
// Draw black contours on a white image
Mat result(threshold_output.size(),CV_8U,Scalar(255));
drawContours(result,contours,
-1, // draw all contours
Scalar(0), // in black
2); // with a thickness of 2
//Create Window
char* DisplayWindow = "Source";
namedWindow(DisplayWindow, CV_WINDOW_AUTOSIZE);
imshow(DisplayWindow, result);
waitKey(5000);
return 1;
}
有人可以提出解决方案......?也许指导我一些资源,教程等。阅读OpenCV文档并查看boundingRect()函数我还是不明白。请帮助:))
答案 0 :(得分:1)
但您也可以自己轻松计算边界框,然后使用rectangle
函数绘制它们:
int maxX = 0, minX = image.cols, maxY=0, minY = image.rows;
for(int i=0; i<contours.size(); i++)
for(int j=0; j<contours[i].size(); j++)
{
Point p = contours[i][j];
maxX = max(maxX, p.x);
minX = min(minX, p.x);
maxY = max(maxY, p.y);
minY = min(minY, p.y);
}
rectangle( result, Point(minX,minY), Point(maxX, maxY), Scalar(0) );
答案 1 :(得分:1)
我在这些帖子中谈到了边界框技术:
我认为最后一个可能有助于您了解标准技术的工作原理。 OpenCV提供的是一种更简单的方法。
答案 2 :(得分:0)