1、arcLength函数
函数的作用
主要是计算图像轮廓的周长、
2、函数调用形式
C++: double arcLength(InputArray curve, bool closed)
参数详解:
InputArray curve:表示图像的轮廓
bool closed:表示轮廓是否封闭的
3、一般图像轮廓矩也可以算出图像的周长和面积
opencv代码:
#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); /// 函数声明 void thresh_callback(int, void* ); /** @主函数 */ int main( int argc, char** argv ) { /// 读入原图像, 返回3通道图像数据 src = imread( argv[1], 1 ); /// 把原图像转化成灰度图像并进行平滑 cvtColor( src, src_gray, CV_BGR2GRAY ); blur( src_gray, src_gray, Size(3,3) ); /// 创建新窗口 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 函数 */ void thresh_callback(int, void* ) { Mat canny_output; vector<vector<Point> > contours; vector<Vec4i> hierarchy; /// 使用Canndy检测边缘 Canny( src_gray, canny_output, thresh, thresh*2, 3 ); /// 找到轮廓 findContours( canny_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) ); /// 计算矩 vector<Moments> mu(contours.size() ); for( int i = 0; i < contours.size(); i++ ) { mu[i] = moments( contours[i], false ); } /// 计算中心矩: 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 ); } /// 绘制轮廓 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 ); } /// 显示到窗口中 namedWindow( "Contours", CV_WINDOW_AUTOSIZE ); imshow( "Contours", drawing ); /// 通过m00计算轮廓面积并且和OpenCV函数比较 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 ); } }