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目錄

topic 1:模板匹配

topic 2:圖像中尋找輪廓

topic 3:計算物體的凸包

topic 4:輪廓創建可傾斜的邊界框和橢圓?

topic 5:輪廓矩?

topic 6:為程序界面添加滑動條?

3.1 目標

3.2 代碼實例1

3.3 代碼實例2

3.4 實例3運行結果

3.5 運行結果

---

topic 1:模板匹配

topic 2:圖像中尋找輪廓

topic 3:計算物體的凸包

topic 4:輪廓創建可傾斜的邊界框和橢圓?

topic 5:輪廓矩?

topic 6:為程序界面添加滑動條?

目錄

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3.1 目標

• 使用OpenCV函數 convexHull

3.2 代碼實例1

//src = imread("C:\\Users\\guoqi\\Desktop\\ch7\\4.jpg", 1);
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#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
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using namespace cv;
using namespace std;
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Mat src; Mat src_gray;
int thresh = 100;
int max_thresh = 255;
RNG rng(12345);
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/// Function header
void thresh_callback(int, void*);
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/** @function main */
int main(int argc, char** argv)
{/// 加載源圖像src = imread("C:\\Users\\guoqi\\Desktop\\ch7\\15.jpg", 1);
?/// 轉成灰度圖并進行模糊降噪cvtColor(src, src_gray, CV_BGR2GRAY);blur(src_gray, src_gray, Size(3, 3));
?/// 創建窗體char* source_window = "Source";namedWindow(source_window, CV_WINDOW_AUTOSIZE);imshow(source_window, src);
?createTrackbar(" Threshold:", "Source", &thresh, max_thresh, thresh_callback);thresh_callback(0, 0);
?waitKey(0);return(0);
}
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/** @function thresh_callback */
void thresh_callback(int, void*)
{Mat src_copy = src.clone();Mat threshold_output;vector<vector<Point> > contours;vector<Vec4i> hierarchy;
?/// 對圖像進行二值化threshold(src_gray, threshold_output, thresh, 255, THRESH_BINARY);
?/// 尋找輪廓findContours(threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));
?/// 對每個輪廓計算其凸包vector<vector<Point> >hull(contours.size());for (int i = 0; i < contours.size(); i++){convexHull(Mat(contours[i]), hull[i], false);}
?/// 繪出輪廓及其凸包Mat drawing = Mat::zeros(threshold_output.size(), CV_8UC3);for (int i = 0; i< contours.size(); i++){Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));drawContours(drawing, contours, i, color, 1, 8, vector<Vec4i>(), 0, Point());drawContours(drawing, hull, i, color, 1, 8, vector<Vec4i>(), 0, Point());}
?/// 把結果顯示在窗體namedWindow("Hull demo", CV_WINDOW_AUTOSIZE);imshow("Hull demo", drawing);
}

3.3 代碼實例2

//src = imread("C:\\Users\\guoqi\\Desktop\\ch7\\4.jpg", 1);
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#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
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using namespace cv;
using namespace std;
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Mat src; Mat src_gray;
int thresh = 100;
int max_thresh = 255;
RNG rng(12345);
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/// 函數聲明
void thresh_callback(int, void*);
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/** @主函數 */
int main(int argc, char** argv)
{/// 載入原圖像, 返回3通道圖像src = imread("C:\\Users\\guoqi\\Desktop\\ch7\\15.jpg", 1);
?/// 轉化成灰度圖像并進行平滑cvtColor(src, src_gray, CV_BGR2GRAY);blur(src_gray, src_gray, Size(3, 3));
?/// 創建窗口char* source_window = "Source";namedWindow(source_window, CV_WINDOW_AUTOSIZE);imshow(source_window, src);
?createTrackbar(" Threshold:", "Source", &thresh, max_thresh, thresh_callback);thresh_callback(0, 0);
?waitKey(0);return(0);
}
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/** @thresh_callback 函數 */
void thresh_callback(int, void*)
{Mat threshold_output;vector<vector<Point> > contours;vector<Vec4i> hierarchy;
?/// 使用Threshold檢測邊緣threshold(src_gray, threshold_output, thresh, 255, THRESH_BINARY);/// 找到輪廓findContours(threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));
?/// 多邊形逼近輪廓 + 獲取矩形和圓形邊界框vector<vector<Point> > contours_poly(contours.size());vector<Rect> boundRect(contours.size());vector<Point2f>center(contours.size());vector<float>radius(contours.size());
?for (int i = 0; i < contours.size(); i++){approxPolyDP(Mat(contours[i]), contours_poly[i], 3, true);boundRect[i] = boundingRect(Mat(contours_poly[i]));minEnclosingCircle(contours_poly[i], center[i], radius[i]);}
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?/// 畫多邊形輪廓 + 包圍的矩形框 + 圓形框Mat drawing = Mat::zeros(threshold_output.size(), CV_8UC3);for (int i = 0; i< contours.size(); i++){Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));drawContours(drawing, contours_poly, i, color, 1, 8, vector<Vec4i>(), 0, Point());rectangle(drawing, boundRect[i].tl(), boundRect[i].br(), color, 2, 8, 0);circle(drawing, center[i], (int)radius[i], color, 2, 8, 0);}
?/// 顯示在一個窗口namedWindow("Contours", CV_WINDOW_AUTOSIZE);imshow("Contours", drawing);
}

3.4 實例3運行結果

//src = imread("C:\\Users\\guoqi\\Desktop\\ch7\\4.jpg", 1);#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
#include <stdlib.h>using namespace cv;
using namespace std;Mat src; Mat src_gray;
int thresh = 100;
int max_thresh = 255;
RNG rng(12345);/// 函數聲明
void thresh_callback(int, void*);/** @主函數 */
int main(int argc, char** argv)
{/// 讀入原圖像, 返回3通道圖像數據src = imread("C:\\Users\\guoqi\\Desktop\\ch7\\15.jpg", 1);/// 把原圖像轉化成灰度圖像并進行平滑cvtColor(src, src_gray, CV_BGR2GRAY);blur(src_gray, src_gray, Size(3, 3));/// 創建新窗口char* source_window = "Source";namedWindow(source_window, CV_WINDOW_AUTOSIZE);imshow(source_window, src);createTrackbar(" Canny thresh:", "Source", &thresh, max_thresh, thresh_callback);thresh_callback(0, 0);waitKey(0);return(0);
}/** @thresh_callback 函數 */
void thresh_callback(int, void*)
{Mat canny_output;vector<vector<Point> > contours;vector<Vec4i> hierarchy;/// 使用Canndy檢測邊緣Canny(src_gray, canny_output, thresh, thresh * 2, 3);/// 找到輪廓findContours(canny_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));/// 計算矩vector<Moments> mu(contours.size());for (int i = 0; i < contours.size(); i++){mu[i] = moments(contours[i], false);}///  計算中心矩:vector<Point2f> mc(contours.size());for (int i = 0; i < contours.size(); i++){mc[i] = Point2f(mu[i].m10 / mu[i].m00, mu[i].m01 / mu[i].m00);}/// 繪制輪廓Mat drawing = Mat::zeros(canny_output.size(), CV_8UC3);for (int i = 0; i< contours.size(); i++){Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));drawContours(drawing, contours, i, color, 2, 8, hierarchy, 0, Point());circle(drawing, mc[i], 4, color, -1, 8, 0);}/// 顯示到窗口中namedWindow("Contours", CV_WINDOW_AUTOSIZE);imshow("Contours", drawing);/// 通過m00計算輪廓面積并且和OpenCV函數比較printf("\t Info: Area and Contour Length \n");for (int i = 0; i< contours.size(); i++){printf(" * Contour[%d] - Area (M_00) = %.2f - Area OpenCV: %.2f - Length: %.2f \n", i, mu[i].m00, contourArea(contours[i]), arcLength(contours[i], true));Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));drawContours(drawing, contours, i, color, 2, 8, hierarchy, 0, Point());circle(drawing, mc[i], 4, color, -1, 8, 0);}
}

3.5 運行結果

實例1運行結果

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實例2運行結果

實例3運行結果

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