opencv学习笔记五十七：基于分水岭的图像分割

基本步骤：灰度二值化，形态学与距离变换再二值化，通过寻找轮廓与画轮廓生成种子点，分水岭分割，然后填色显示。

#include<opencv2\opencv.hpp>
using namespace cv;
using namespace std;

int main(int arc, char** argv) { 
	Mat src = imread("1.jpg");
	namedWindow("input", CV_WINDOW_AUTOSIZE);
	imshow("input", src);

	////灰度二值化
	Mat gray, binary;
	cvtColor(src, gray, CV_BGR2GRAY);
	threshold(gray, binary, 0, 255, THRESH_BINARY | THRESH_OTSU);
	imshow("binary", binary);

	//形态学与距离变换
	Mat kernel = getStructuringElement(MORPH_RECT, Size(3, 3));
	morphologyEx(binary, binary, MORPH_OPEN, kernel);
	Mat dist ;
	distanceTransform(binary, dist, 2, 3,CV_32F);//这里距离是选择L2，会有浮点数，所以类型为CV_32F
	normalize(dist, dist, 0, 1, NORM_MINMAX);
	imshow("distanceTransform", dist);
	threshold(dist, dist, 0.1, 1, THRESH_BIN