watershed

I am now learning a code from the opencv codebook ( OpenCV 2 Computer Vision Application Programming Cookbook ): Chapter 5, Segmenting images using watersheds, page 131. Here is my main code: #include "opencv2/opencv.hpp" #include <string> using namespace cv; using namespace std; class WatershedSegmenter { private: cv::Mat markers; public: void setMarkers(const cv::Mat& markerImage){ markerImage.convertTo(markers, CV_32S); } cv::Mat process(const cv::Mat &image){ cv::watershed(image,markers); return markers; } }; int main () { cv::Mat image = cv::imread("/Users/yaozhongsong/Pictures/IMG_1648

anyone knows how to write a function in matlab to segment the cells and compute the average cell area using the watershed algorithm ? any help would be much appreciated. Thank you! Here is an image of yeast cells Jonas Here's one way to segment the image using watershed. There's plenty more you could do (e.g. fuse cells with two nuclei if they haven't completed cytokinesis yet), but the steps below should give you a first idea. (1) Determine cell-background threshold, cell-nucleus threshold %# read image img = imread('http://i.stack.imgur.com/nFDkX.png'); %# normalize to 0...1 imgN = double

My goal is to trace drawings that have a lot of separate shapes in them and to split these shapes into individual images. It is black on white. I'm quite new to numpy,opencv&co - but here is my current thought: scan for black pixels black pixel found -> watershed find watershed boundary (as polygon path) continue searching, but ignore points within the already found boundaries I'm not very good at these kind of things, is there a better way? First I tried to find the rectangular bounding box of the watershed results (this is more or less a collage of examples): from numpy import * import numpy

I'm using the function regionprops to detect the number of trees on a image taked by drone. First I removed the ground using Blue NDVI: Image with threshold: Then I used the function regionprops to detect the number of trees on image: But there are a problem on region 15, because all trees on that region are connected and it detects as one tree. I tried to separate the trees on that region using Watershed Segmentation , but its not working: Am I doing this the wrong way? Is there a better method to separate the trees? If anyone can help me with this problem I will appreciate. Here is the