opencv：分水岭分割

参考：http://www.voidcn.com/article/p-uvzxwqea-bch.html

 

 

 

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

#include <iostream>

using namespace cv;
using namespace std;

Vec3b RandomColor(int value);  //生成随机颜色函数



int main(int argc, char* argv[])
{
	Mat image = imread("D:\\xxxxxx\\image\\4078.png");//载入RGB彩色图像
	imshow("Source Image", image);

	//灰度化，滤波，Canny边缘检测
	Mat imageGray, imageCanny;
	cvtColor(image, imageGray, CV_BGR2GRAY);//灰度转换
	GaussianBlur(imageGray, imageGray, Size(5, 5), 2);   //高斯滤波
	imshow("Gray Image", imageGray);
	Canny(imageGray, imageCanny, 40, 100);
	imshow("Canny Image", imageCanny);

	//查找轮廓
	vector<vector<Point>> contours;
	vector<Vec4i> hierarchy;
	findContours(imageCanny, contours, hierarchy, RETR_LIST, CHAIN_APPROX_SIMPLE, Point());
	Mat imageContours = Mat::zeros(image.size(), CV_8UC1);  //轮廓	
	Mat marks(image.size(), CV_32S);   //Opencv分水岭第二个矩阵参数
	marks = Scalar::all(0);
	int index = 0;
	int compCount = 0;
	for (; index >= 0; index = hierarchy[index][0], compCount++)
	{
		//对marks进行标记，对不同区域的轮廓进行编号，相当于设置注水点，有多少轮廓，就有多少注水点
		drawContours(marks, contours, index, Scalar::all(compCount + 1), 1, 8, hierarchy);
		drawContours(imageContours, contours, index, Scalar(255), 1, 8, hierarchy);
	}

	//我们来看一下传入的矩阵marks里是什么东西
	Mat marksShows;
	convertScaleAbs(marks, marksShows);
	imshow("marksShow", marksShows);
	imshow("轮廓", imageContours);
	watershed(image, marks);

	//我们再来看一下分水岭算法之后的矩阵marks里是什么东西
	Mat afterWatershed;
	convertScaleAbs(marks, afterWatershed);
	imshow("After Watershed", afterWatershed);

	//对每一个区域进行颜色填充
	Mat PerspectiveImage = Mat::zeros(image.size(), CV_8UC3);
	for (int i = 0; i < marks.rows; i++)
	{
		for (int j = 0; j < marks.cols; j++)
		{
			int index = marks.at<int>(i, j);
			if (marks.at<int>(i, j) == -1)
			{
				PerspectiveImage.at<Vec3b>(i, j) = Vec3b(255, 255, 255);
			}
			else
			{
				PerspectiveImage.at<Vec3b>(i, j) = RandomColor(index);
			}
		}
	}
	imshow("After ColorFill", PerspectiveImage);

	//分割并填充颜色的结果跟原始图像融合
	Mat wshed;
	addWeighted(image, 0.4, PerspectiveImage, 0.6, 0, wshed);
	imshow("AddWeighted Image", wshed);

	//waitKey();
	cvWaitKey(0);
	return 0;
}

Vec3b RandomColor(int value)    //生成随机颜色函数
{
	value = value % 255;  //生成0~255的随机数
	RNG rng;
	int aa = rng.uniform(0, value);
	int bb = rng.uniform(0, value);
	int cc = rng.uniform(0, value);
	return Vec3b(aa, bb, cc);
}

原图：                                                           灰度：                                                   轮廓：                                   

                       

Mark：                                                        轮廓：                                              分水岭：                                                    

                              

填充颜色：