opencv查找連通分量和輪廓

#include <iostream>
#include <iomanip>

#include <opencv2/opencv.hpp>
#include <algorithm>
#include <opencv2/imgproc.hpp>

#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"

using namespace cv;
using namespace std;
static Scalar randomColor(RNG& rng)
{
	int icolor = (unsigned)rng;
	return Scalar(icolor & 255, (icolor >> 8) & 255, (icolor >> 16) & 255);
}
void ConnectCompents(Mat img) {
	Mat labels;//0爲背景
	auto num_objects = connectedComponents(img, labels);
	if (num_objects < 2) {
		cout << "無對象" << endl;
	}
	else {
		cout << "找到的物體個數" << num_objects - 1 << endl;
	}
	Mat output = Mat::zeros(img.rows, img.cols, CV_8UC3);
	RNG rng(0xFFFFFFFF);
	for (int i = 1; i < num_objects; i++) {
		Mat mask = labels == i;
		output.setTo(randomColor(rng), mask);
	}
	imshow("result", output);
}
void ConnectCompentStatus(Mat img) {
	Mat labels,status,centroids;//0爲背景
	auto num_objects = connectedComponentsWithStats(img,labels,status,centroids);
	if (num_objects < 2) {
		cout << "無對象" << endl;
	}
	else {
		cout << "找到的物體個數" << num_objects - 1 << endl;
	}
	Mat output = Mat::zeros(img.rows, img.cols, CV_8UC3);
	RNG rng(0xFFFFFFFF);
	for (int i = 1; i < num_objects; i++) {
		Mat mask = labels == i;
		output.setTo(randomColor(rng), mask);
		stringstream ss;
		ss << "area:" << status.at<int>(i, CC_STAT_AREA);
		putText(output, ss.str(), centroids.at<Point2d>(i), FONT_HERSHEY_SCRIPT_SIMPLEX, 0.4, Scalar(255,255,255));
	}
	imshow("result", output);
}
int FindContoursBasic(Mat img)
{
	vector<vector<Point> > contours;//點集數組.那個空格必須有，不然會被讀成>>。
	findContours(img, contours, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE);
	Mat output = Mat::zeros(img.rows, img.cols, CV_8UC3);//定義繪製板
	if (contours.size() == 0)
	{
		cout << "No objects founded" << endl;
		return -1;
	}
	else
	{
		cout << "objects number:" << contours.size() << endl;
	}
	RNG rng(0xFFFFFFFF);//隨機數
	for (int i = 0; i < contours.size(); i++)
	{
		drawContours(output, contours, i, randomColor(rng));//依次將輪廓繪製到output上
	}
	imshow("Output", output);
}
int main(){
	Mat image1 = imread("工件圖.jpg");
	Mat image2 = imread("背景.jpg", 0);
	if((image1.data == NULL) || (image2.data==NULL) ){
		cout << "讀圖失敗" << endl;
		return 0;
	}
	Mat grayimage,blurimage,image3;
	cvtColor(image1, grayimage, COLOR_RGB2GRAY);
	//imshow("srcimage", grayimage);

	// 中值濾波
	medianBlur(grayimage, blurimage, 13);
	//imshow("blurimage", blurimage);

	//除去背景
	Mat img32, patten32;
	blurimage.convertTo(img32, CV_32F);
	resize(image2, image2, Size(blurimage.cols, blurimage.rows));
	image2.convertTo(patten32, CV_32F);
	image3 = 1 - (img32 / patten32);
	image3.convertTo(image3, CV_8U, 255);
	//imshow("去除背景", image3);
	/*//創建光模式
	Mat pattern;
	blur(grayimage, pattern, Size(grayimage.cols / 3, grayimage.cols / 3));
	imshow("背景", pattern);*/
	//二值化
	Mat imgbw;
	threshold(image3, imgbw, 30,255,THRESH_BINARY);
	imshow("二值化", imgbw);
	//找輪廓
	//ConnectCompentStatus(imgbw);
	FindContoursBasic(imgbw);
	waitKey();
	return 0;
}