opencv 提取彩色图像轮廓

本程序功能：提取彩色3通道图像的轮廓

#include <opencv.hpp>    
#include <iostream>    
#include <vector>    
using namespace cv;
using namespace std;
int main()
{
	Mat dstImage = imread("1.png");
	namedWindow("原图", 2);
	imshow("原图", dstImage);
	uchar *data = dstImage.data;
	int height = dstImage.rows;
	int width = dstImage.cols;
	vector<vector<int>> state(height, vector<int>(width, 0));     //动态二维数组，标记是否为轮廓点
	int scale = dstImage.channels();

	//for (int i = 0; i < height; i++)
	//{
	//	for (int j = 0; j < width; j++)
	//	{
	//		uchar *p = dstImage.ptr<uchar>(i,j);
	//		int a = p[0];         //B通道灰度值
	//		int b = p[1];         //G通道灰度值
	//		int c = p[2];         //R通道灰度值
	//	}
	//}
	for (int i = 0; i < height; i++)
	{
		for (int j = 0; j < width; j++)
		{
			uchar *p = dstImage.ptr<uchar>(i,j);          //指向彩色图像的每个像素值   
			if (p[0] == 255 && i > 0 && i < height&&j>0 && j < width)
			{
				for (int m = i - 1; m <= i + 1; m++)
				{
					for (int n = j - 1; n <= j + 1; n++)
					{
						uchar *p1 = dstImage.ptr<uchar>(m, n);
						if (p1[0] == 0)
						{
							state[i][j] = 1;
						}
					}
				}
			}
		}
	}

	for (int i = 0; i < height; i++)
	{
		for (int j = 0; j < width; j++)
		{
			uchar *p = dstImage.ptr<uchar>(i,j);
			if (state[i][j] == 1)
			{
				p[0] = 0;
				p[1] = 0;
				p[2] = 255;
			}
		}
	}
	namedWindow("轮廓图", 2);
	imshow("轮廓图", dstImage);
	waitKey(0);
	return 0;
}

运行结果：