cleanup

1 files changed, 0 insertions, 95 deletions

diff --git a/watershed.cpp b/watershed.cpp
deleted file mode 100644
index 64fe039..0000000
--- a/watershed.cpp
+++ /dev/null
@@ -1,95 +0,0 @@
-/**
- * Count and segment overlapping objects with Watershed and Distance Transform.
- *
- * See the tutorial at:
- * http://opencv-code.com/count-and-segment-overlapping-objects-with-watershed-and-distance-transform/
- */
-#include <opencv2/imgproc/imgproc.hpp>
-#include <opencv2/highgui/highgui.hpp>
-#include <iostream>
-
-int main()
-{
-	cv::Mat src = cv::imread("coins.jpg");
-	if (!src.data)
-		return -1;
-
-	cv::imshow("src", src);
-
-	// Create binary image from source image
-	cv::Mat bw;
-	cv::cvtColor(src, bw, CV_BGR2GRAY);
-	cv::threshold(bw, bw, 40, 255, CV_THRESH_BINARY);
-	cv::imshow("bw", bw);
-
-	// Perform the distance transform algorithm
-	cv::Mat dist;
-	cv::distanceTransform(bw, dist, CV_DIST_L2, 3);
-
-	// Normalize the distance image for range = {0.0, 1.0}
-	// so we can visualize and threshold it
-	cv::normalize(dist, dist, 0, 1., cv::NORM_MINMAX);
-	cv::imshow("dist", dist);
-
-	// Threshold to obtain the peaks 
-	// This will be the markers for the foreground objects
-	cv::threshold(dist, dist, .5, 1., CV_THRESH_BINARY);
-	cv::imshow("dist2", dist);
-
-	// Create the CV_8U version of the distance image
-	// It is needed for cv::findContours()
-	cv::Mat dist_8u;
-	dist.convertTo(dist_8u, CV_8U);
-
-	// Find total markers
-	std::vector<std::vector<cv::Point> > contours;
-	cv::findContours(dist_8u, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);
-	int ncomp = contours.size();
-
-	// Create the marker image for the watershed algorithm
-	cv::Mat markers = cv::Mat::zeros(dist.size(), CV_32SC1);
-
-	// Draw the foreground markers
-	for (int i = 0; i < ncomp; i++)
-		cv::drawContours(markers, contours, i, cv::Scalar::all(i+1), -1);
-
-	// Draw the background marker
-	cv::circle(markers, cv::Point(5,5), 3, CV_RGB(255,255,255), -1);
-	cv::imshow("markers", markers*10000);
-
-	// Perform the watershed algorithm
-	cv::watershed(src, markers);
-
-	// Generate random colors
-	std::vector<cv::Vec3b> colors;
-	for (int i = 0; i < ncomp; i++)
-	{
-		int b = cv::theRNG().uniform(0, 255);
-		int g = cv::theRNG().uniform(0, 255);
-		int r = cv::theRNG().uniform(0, 255);
-
-		colors.push_back(cv::Vec3b((uchar)b, (uchar)g, (uchar)r));
-	}
-
-	// Create the result image
-	cv::Mat dst = cv::Mat::zeros(markers.size(), CV_8UC3);
-
-	// Fill labeled objects with random colors
-	for (int i = 0; i < markers.rows; i++)
-	{
-		for (int j = 0; j < markers.cols; j++)
-		{
-			int index = markers.at<int>(i,j);
-			if (index > 0 && index <= ncomp)
-				dst.at<cv::Vec3b>(i,j) = colors[index-1];
-			else
-				dst.at<cv::Vec3b>(i,j) = cv::Vec3b(0,0,0);
-		}
-	}
-
-	cv::imshow("dst", dst);
-
-	cv::waitKey(0);
-	return 0;
-}
-