approxPolyDP-轮廓近似
2017-08-09 00:25
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approxPolyDP-轮廓近似
参考:http://blog.csdn.net/qq_18343569/article/details/47999257
approxPolyDP函数
python版轮廓近似
http://blog.csdn.net/zhangxb35/article/details/47275277
code源码:https://github.com/Itseez/opencv/tree/master/samples/cpp/contours2.cpp
1、approxPolyDP函数
函数的作用:
对图像轮廓点进行多边形拟合
2、函数的调用形式
C++: void approxPolyDP(InputArray curve,
OutputArray approxCurve, double epsilon,
bool closed)
参数详解;
InputArray curve:一般是由图像的轮廓点组成的点集
OutputArray approxCurve:表示输出的多边形点集
double epsilon:主要表示输出的精度,就是另个轮廓点之间最大距离数,5,6,7,,8,,,,,
bool closed:表示输出的多边形是否封闭
3、OpenCV代码
[cpp] view
plain copy
#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);
/// Function header
void thresh_callback(int, void*);
/** @function main */
int main(int argc, char**
argv)
{
/// 加载源图像
src = imread("D:6.jpg", 1);
/// 转成灰度图并进行模糊降噪
cvtColor(src, src_gray, CV_BGR2GRAY);
blur(src_gray, src_gray, Size(3, 3));
/// 创建窗体
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);
}
/** @function thresh_callback */
void thresh_callback(int, void*)
{
Mat src_copy = src.clone();
Mat threshold_output;
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
/// 对图像进行二值化
threshold(src_gray, threshold_output, thresh, 255, THRESH_BINARY);
/// 寻找轮廓
findContours(threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));
/*Mat drawing = Mat::zeros(threshold_output.size(), CV_8UC3);*/
/* 对每个轮廓计算其凸包*/
vector<vector<Point> >poly(contours.size());
for (int i
= 0; i < contours.size(); i++)
{
approxPolyDP(Mat(contours[i]), poly[i], 5,true);
}
/* 绘出轮廓及其凸包*/
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, poly, i, color, 1, 8, vector<Vec4i>(), 0, Point());
}
/*vector<Point> poly;
approxPolyDP(Mat(contours[3]), poly, 5, false);
vector<Point>::const_iterator itp = poly.begin();
while (itp != (poly.end() - 2))
{
line(drawing, *itp, *(itp + 1), Scalar(255), 2);
++itp;
}
line(drawing, *itp, *(poly.begin()), Scalar(255), 2);*/
/// 把结果显示在窗体
namedWindow("Hull demo", CV_WINDOW_AUTOSIZE);
imshow("Hull demo", drawing);
}
参考:http://blog.csdn.net/qq_18343569/article/details/47999257
approxPolyDP函数
python版轮廓近似
http://blog.csdn.net/zhangxb35/article/details/47275277
code源码:https://github.com/Itseez/opencv/tree/master/samples/cpp/contours2.cpp
1、approxPolyDP函数
函数的作用:
对图像轮廓点进行多边形拟合
2、函数的调用形式
C++: void approxPolyDP(InputArray curve,
OutputArray approxCurve, double epsilon,
bool closed)
参数详解;
InputArray curve:一般是由图像的轮廓点组成的点集
OutputArray approxCurve:表示输出的多边形点集
double epsilon:主要表示输出的精度,就是另个轮廓点之间最大距离数,5,6,7,,8,,,,,
bool closed:表示输出的多边形是否封闭
3、OpenCV代码
[cpp] view
plain copy
#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);
/// Function header
void thresh_callback(int, void*);
/** @function main */
int main(int argc, char**
argv)
{
/// 加载源图像
src = imread("D:6.jpg", 1);
/// 转成灰度图并进行模糊降噪
cvtColor(src, src_gray, CV_BGR2GRAY);
blur(src_gray, src_gray, Size(3, 3));
/// 创建窗体
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);
}
/** @function thresh_callback */
void thresh_callback(int, void*)
{
Mat src_copy = src.clone();
Mat threshold_output;
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
/// 对图像进行二值化
threshold(src_gray, threshold_output, thresh, 255, THRESH_BINARY);
/// 寻找轮廓
findContours(threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));
/*Mat drawing = Mat::zeros(threshold_output.size(), CV_8UC3);*/
/* 对每个轮廓计算其凸包*/
vector<vector<Point> >poly(contours.size());
for (int i
= 0; i < contours.size(); i++)
{
approxPolyDP(Mat(contours[i]), poly[i], 5,true);
}
/* 绘出轮廓及其凸包*/
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, poly, i, color, 1, 8, vector<Vec4i>(), 0, Point());
}
/*vector<Point> poly;
approxPolyDP(Mat(contours[3]), poly, 5, false);
vector<Point>::const_iterator itp = poly.begin();
while (itp != (poly.end() - 2))
{
line(drawing, *itp, *(itp + 1), Scalar(255), 2);
++itp;
}
line(drawing, *itp, *(poly.begin()), Scalar(255), 2);*/
/// 把结果显示在窗体
namedWindow("Hull demo", CV_WINDOW_AUTOSIZE);
imshow("Hull demo", drawing);
}
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