watershed

watershed function provided by EmguCv

由 我与影子孤独终老i 提交于 2019-12-13 05:28:09
问题 I want to use watershed function provided by emgucv.I used the following code but all I get is a white picture.Please help me and correct this code.Thanks. Image im; Bitmap bm; Bitmap bmF; private void button1_Click(object sender, EventArgs e)//setting the background image { if (openFileDialog1.ShowDialog() == DialogResult.OK) { im = Image.FromFile(openFileDialog1.FileName); bm = new Bitmap(im); } panel1.BackgroundImage = im; panel1.Width = im.Width; panel1.Height = im.Height; panel1.Visible

pruning image segments' leftovers

由 一曲冷凌霜 提交于 2019-12-12 00:50:08
问题 As you see in images below, in some of my segmentation result(segmentation done by watershed transformation method), there are some leftovers left. I want to somehow crop the images so that only the rectangles remain. This operation is only based on rectangle shape and it doesn't relate to intensity level. 回答1: Solution explanation I suggest the following approach: generate an initial guess for the 4 corners of the shape according to geometric properties (see code below for further details).

How to draw contours of each segmented object

由 只谈情不闲聊 提交于 2019-12-07 19:58:57
问题 I apply watershed segmentation to detect touching objects and it works okay doing that. Now, I would like to draw contours of each object, so I can get their length, area, moments etc.. But the objects in the result of the segmentation are still touching. So, I fail to draw contours of each one. How can I draw contours of each object? #include <opencv2/imgproc/imgproc.hpp> #include <opencv2/highgui/highgui.hpp> #include <iostream> using namespace std; using namespace cv; int main() { Mat src

How to draw contours of each segmented object

由 时光怂恿深爱的人放手 提交于 2019-12-06 08:47:09
I apply watershed segmentation to detect touching objects and it works okay doing that. Now, I would like to draw contours of each object, so I can get their length, area, moments etc.. But the objects in the result of the segmentation are still touching. So, I fail to draw contours of each one. How can I draw contours of each object? #include <opencv2/imgproc/imgproc.hpp> #include <opencv2/highgui/highgui.hpp> #include <iostream> using namespace std; using namespace cv; int main() { Mat src = imread("source.png"); // Create binary image from source image Mat srcGray; cvtColor(src, srcGray, CV

Over-segmentation of Watershed algorithm

由 不羁岁月 提交于 2019-12-06 02:56:28
问题 I followed the 2-D Watershed example in Mathworks.com to separate the connected objects, like the image below: The code is summarize as: bw = imread('some_binary_image.tif'); D = -bwdist(~bw); D(~bw) = -Inf; L = watershed(D); The result is: The particle in the center has been separated into two. Are there any ways to avoid the over-segmentation here? Thanks, lennon310, chessboard does work well for most of my images, but there are still some cases that it doesn't. For example, the following

Image segmentation of connected objects with watershed

由 六眼飞鱼酱① 提交于 2019-12-06 02:30:47
问题 I'm trying to separate connected objects. It seems that Python and the watershed algorithm (scipy implementation) are well-suited to handle this. Here is my image and automatically generated watershed seed points (local maxima of the thresholded and distance-transformed image): seeds = myGenSeeds( image_grey ) So far, so good; there is a seed for every object. Things break down when I run the watershed though: segmented = ndimage.measurements.watershed_ift( 255 - image_grey, seeds)` Both the

Over-segmentation of Watershed algorithm

由 家住魔仙堡 提交于 2019-12-04 07:08:53
I followed the 2-D Watershed example in Mathworks.com to separate the connected objects, like the image below: The code is summarize as: bw = imread('some_binary_image.tif'); D = -bwdist(~bw); D(~bw) = -Inf; L = watershed(D); The result is: The particle in the center has been separated into two. Are there any ways to avoid the over-segmentation here? Thanks, lennon310, chessboard does work well for most of my images, but there are still some cases that it doesn't. For example, the following binary image: Using chessboard will result in: As I have hundreds of images, it seems that it is

Matlab: separate connected components

由 独自空忆成欢 提交于 2019-12-01 07:33:48
I was working on my image processing problem with detecting coins. I have some images like this one here: and wanted to separate the falsely connected coins. We already tried the watershed method as stated on the MATLAB-Homepage: the-watershed-transform-strategies-for-image-segmentation.html especially since the first example is exactly our problem. But instead we get a somehow very messed up separation as you can see here: We already extracted the area of the coin using the regionprops Extrema parameter and casting the watershed only on the needed area. I'd appreciate any help with the

Matlab: separate connected components

由 一曲冷凌霜 提交于 2019-12-01 05:21:04
问题 I was working on my image processing problem with detecting coins. I have some images like this one here: and wanted to separate the falsely connected coins. We already tried the watershed method as stated on the MATLAB-Homepage: the-watershed-transform-strategies-for-image-segmentation.html especially since the first example is exactly our problem. But instead we get a somehow very messed up separation as you can see here: We already extracted the area of the coin using the regionprops

watershed algorithm in matlab

由 无人久伴 提交于 2019-11-30 06:59:47
问题 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 回答1: 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 %#
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