輪廓特徵屬性及應用(四)——正外接矩形
1.輪廓正外接矩形——boundingRect()
2.完成了三個小應用:正外接矩形的查找繪製、分割硬幣輪廓、簡單車牌字符分割
先上ppt:
代碼:
正外接矩形的查找繪製:
///正外接矩形的查找繪製
#include "opencv2/opencv.hpp"
using namespace cv;
#include <iostream>
using namespace std;
int main()
{
//1.查找輪廓
//1.1查找輪廓前的預處理(灰度圖,閾值化)
Mat srcImg = imread("12.jpg",CV_LOAD_IMAGE_COLOR);
imshow("srcImg", srcImg);
Mat copyImg = srcImg.clone();
cvtColor(srcImg,srcImg,CV_BGR2GRAY);
threshold(srcImg,srcImg,100,255,CV_THRESH_BINARY);
imshow("threshold",srcImg);
vector <vector<Point>> contours;
vector<Vec4i> hierarcy;//沒用到
//1.2查找輪廓
findContours(srcImg,contours,CV_RETR_EXTERNAL,CV_CHAIN_APPROX_NONE);//最外層輪廓
//1.3繪製所有輪廓
drawContours(copyImg,contours,-1,Scalar(0,255,0),1,8);
//2.由輪廓確定正外接矩形
int width = 0;
int height = 0;
int x = 0;
int y = 0;
//2.1 定義Rect類型的vector容器boundRect存放正外接矩形,初始化大小爲contours.size()即輪廓個數
vector<Rect> boundRect(contours.size());
//2.2 遍歷每個輪廓
for (int i = 0; i < contours.size(); i++)
{
//2.3由輪廓(點集)確定出正外接矩形
boundRect[i] = boundingRect(Mat(contours[i]));
//2.4獲得正外接矩形的左上角座標及寬高
width = boundRect[i].width;
height = boundRect[i].height;
x = boundRect[i].x;
y = boundRect[i].y;
//2.5用畫矩形方法繪製正外接矩形
rectangle(copyImg,Rect(x,y,width,height),Scalar(0,0,255),1,8);
}
imshow("輪廓和正外接矩形", copyImg);
waitKey(0);
return 0;
}
運行結果:
分割硬幣輪廓:
///分割硬幣輪廓
#include "opencv2/opencv.hpp"
using namespace cv;
#include <iostream>
using namespace std;
int main()
{
//1.查找輪廓
//1.1查找輪廓前的預處理(灰度圖,閾值化)
Mat srcImg = imread("33.png",CV_LOAD_IMAGE_COLOR);
imshow("srcImg", srcImg);
Mat copyImg = srcImg.clone();
cvtColor(srcImg,srcImg,CV_BGR2GRAY);
threshold(srcImg,srcImg,100,255,CV_THRESH_BINARY);
imshow("threshold",srcImg);
//*1.2增加了膨脹和腐蝕
//因爲有一個輪廓有斷點,導致外接矩形是兩個小的而不是一個整的,故要膨脹,將斷點連起來
//1.2.1定義kernel
Mat kernel = getStructuringElement(MORPH_RECT,Size(5,5),Point(-1,-1));
//1.2.2膨脹
dilate(srcImg,srcImg,kernel,Point(-1,-1));
//1.2.3腐蝕
erode(srcImg,srcImg,kernel,Point(-1,-1));
imshow("膨脹和腐蝕", srcImg);
//1.3查找輪廓
vector <vector<Point>> contours;
vector<Vec4i> hierarcy;//沒用到
findContours(srcImg,contours,CV_RETR_EXTERNAL,CV_CHAIN_APPROX_NONE);//最外層輪廓
//1.4繪製所有輪廓
drawContours(copyImg,contours,-1,Scalar(0,255,0),1,8);
//2.由輪廓確定正外接矩形
int width = 0;
int height = 0;
int x = 0;
int y = 0;
//2.1 定義Rect類型的vector容器boundRect存放正外接矩形,初始化大小爲contours.size()即輪廓個數
vector<Rect> boundRect(contours.size());
//2.2 遍歷每個輪廓
for (int i = 0; i < contours.size(); i++)
{
//2.3由輪廓(點集)確定出正外接矩形
boundRect[i] = boundingRect(Mat(contours[i]));
//2.4獲得正外接矩形的左上角座標及寬高
width = boundRect[i].width;
height = boundRect[i].height;
x = boundRect[i].x;
y = boundRect[i].y;
//*2.5 對正外接矩形進行篩選(過濾掉小的)
if (width>40 && height > 40)
{
//2.6用畫矩形方法繪製正外接矩形
rectangle(copyImg, Rect(x, y, width, height), Scalar(0, 0, 255), 1, 8);
}
}
imshow("輪廓和正外接矩形", copyImg);
waitKey(0);
return 0;
}
運行結果:
簡單車牌字符分割:
///簡單車牌字符分割
#include "opencv2/opencv.hpp"
using namespace cv;
#include <iostream>
using namespace std;
int main()
{
//1.查找輪廓
//1.1查找輪廓前的預處理(灰度圖,閾值化)
Mat srcImg = imread("Car.jpg", CV_LOAD_IMAGE_COLOR);
imshow("srcImg", srcImg);
Mat copyImg = srcImg.clone();
cvtColor(srcImg, srcImg, CV_BGR2GRAY);
threshold(srcImg, srcImg, 100, 255, CV_THRESH_BINARY);
imshow("threshold", srcImg);
//1.2查找輪廓
vector <vector<Point>> contours;
vector<Vec4i> hierarcy;//沒用到
findContours(srcImg, contours, CV_RETR_LIST, CV_CHAIN_APPROX_NONE);//所有輪廓
//1.3繪製所有輪廓
drawContours(copyImg, contours, -1, Scalar(0, 255, 0), 1, 8);
//2.由輪廓確定正外接矩形
int width = 0;
int height = 0;
int x = 0;
int y = 0;
//2.1 定義Rect類型的vector容器boundRect存放正外接矩形,初始化大小爲contours.size()即輪廓個數
vector<Rect> boundRect(contours.size());
//2.2 遍歷每個輪廓
for (int i = 0; i < contours.size(); i++)
{
//2.3由輪廓(點集)確定出正外接矩形
boundRect[i] = boundingRect(Mat(contours[i]));
//2.4獲得正外接矩形的左上角座標及寬高
width = boundRect[i].width;
height = boundRect[i].height;
x = boundRect[i].x;
y = boundRect[i].y;
//*2.5 對正外接矩形進行篩選(過濾掉過小及過大的)
if (width>(1.0 / 12)*srcImg.cols && width<(1.0 / 7)*srcImg.cols
&&height >(1.0 / 6)*srcImg.rows&& height < (5.0 / 6)*srcImg.rows)
{
//2.6用畫矩形方法繪製正外接矩形
rectangle(copyImg, Rect(x, y, width, height), Scalar(0, 0, 255), 1, 8);
//*2.7 通過ROI保存分割出的車牌字符
//2.7.1 定義ROI
Mat ROI = copyImg(Rect(x,y,width,height));
//2.7.2 通過sprintf格式化文件存儲名name
char name[20] = {0};
sprintf(name,"E:\\temp\\%d.jpg",i);
//2.7.3 寫ROI到本地
imwrite(name,ROI);
}
}
imshow("輪廓和正外接矩形", copyImg);
waitKey(0);
return 0;
}
運行結果: