opencv學習筆記五十七：基于分水嶺的圖像分割

基本步驟：灰階二值化，形态學與距離變換再二值化，通過尋找輪廓與畫輪廓生成種子點，分水嶺分割，然後填色顯示。

#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);

	灰階二值化
	Mat gray, binary;
	cvtColor(src, gray, CV_BGR2GRAY);
	threshold(gray, binary, 0, 255, THRESH_BINARY | THRESH_OTSU);
	imshow("binary", binary);

	//形态學與距離變換
	Mat kernel = getStructuringElement(MORPH_RECT, Size(3, 3));
	morphologyEx(binary, binary, MORPH_OPEN, kernel);
	Mat dist ;
	distanceTransform(binary, dist, 2, 3,CV_32F);//這裡距離是選擇L2，會有浮點數，是以類型為CV_32F
	normalize(dist, dist, 0, 1, NORM_MINMAX);
	imshow("distanceTransform", dist);
	threshold(dist, dist, 0.1, 1, THRESH_BINARY);
	normalize(dist, dist, 0, 255, NORM_MINMAX);
	dist.convertTo(dist, CV_8U);
	imshow("distanceTrans