image-segmentation refers to the process of partitioning a digital image into multiple segments, typically to locate objects and boundaries.
Questions tagged [image-segmentation]
326 questions
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What are some easy to detect reference mark shapes and corresponding detection methods?
Question Details:
There are a variety of image processing algorithms useful for detecting reference marks (contour tracing, FAST, MSER, Haar Feature-based Cascade Classifier, or even just Harris Edge detector, etc).
There are a variety of simple…
kdaquila
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What are the optimal features for text line and table row discrimination in a handwritten document image?
I have a handwritten document which contains graphics, tables, and text paragraphs.
I know how to extract graphics from this document. Now I want to know how can I discriminate between text lines and table rows, if I have already segmented the…
user7546
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How to approximate these fuzzy rectangle shapes in binary maps?
The following binary maps are the results of a measurement I've carried out. I'm looking for a quantifiable measure of the red areas. I could trace rectangles manually (the green rectangle on the upper-right image), but it's hard to motivate their…
Andreas
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Segmentation of microscopic images
This is a classical image segmentation problem: I need to make a visual measurement of particles.
I've been using watershed, kmeans and mean shift but it doesn't work well on this image. Could you please recommend me some other methods/open source…
Dzung Nguyen
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Segmenting connected hand-written digits
By using Python (numpy/sklearn/opencv) I'm trying to process images with hand-written digits, and after all my main problem turns to be connected digits. For example:
If I crop the digits by hand I get expected output, by taking advantage from NIST…
zetah
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How to segment blood vessels and detect malignant?
I have a task of segmentation of retinal blood vessels from fundus images an the same time detect malignant. so the output images should contain both segmented image and detected malignant. I am using Matlab.
original input image
I tried…
Ayubu Mbaga
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Finding minimum in the middle of a histogram
I'm building an image processing pipeline and one step in the process requires thresholding the image based on saturation.
Example code using OpenCV-Python:
H, S, V = cv2.split(img)
mask = cv2.threshold(S, low, 255, cv2.THRESH_BINARY)
I know how to…
scribu
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votes
1 answer
Segmenting page with dense input and disconnected separators
I would like to segment pages of a historic book, which is printed densely and shows disconnected black column separators, see below.
What I would like to arrive at is the following segmentation.
I have been playing with ocropy so far, which makes…
sebastian
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1
vote
1 answer
Extract feature area from image
I have an image like the one above, and what I need to find are the red circled areas. They are caused by how the nerve layer is in the eye, and I have no idea what method to use to extract them. (I am looking for a brighter background from the…
SinisterMJ
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vote
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What is definition of robust image segmentation?
I read the term "robust (image) segmentation" a lot in literature but I couldn't find a definition of the term. Based on the literature, I can guess the term may mean that its segmentation result is accurate enough for further analysis with the…
Tae-Sung Shin
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Extract Rectangle from image
Given this image:
How can I extract the 'rectangle' my arm is holding up?
I know about closing, dilation and erosion etc but I still manage to get artefacts of my hand included after filtering.
The size of that rectangle can vary due to…
Andrew Simpson
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vote
1 answer
LSM level set method vs thresholding
I am trying to understand the LSM algorithm applied to grayscale image segmentation.
There are essentially 2 things that are blocking me:
1) From my point of view - the level sets - i.e. ''moving'' the 3D surface (that is, conceptually visualizing…
SheppLogan
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vote
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Adjust rectangle
I have pictures like that one below.
Here is a car from the back and some background.
How can I adjust rect to fit car better, without free space around? It can be very approximate solution, main thing here is that car can vary a lot, as well as…
UndeadDragon
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vote
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Character Segmentation from the Image
I have made some segments of the image and found the area of interest.I used Sobel vertical detector and morphological operations.
Now I want to segment all number plate characters from the image which has size [51 165]......How would I do it…
Edison
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Can't understand multi intensity valued mask
I am trying to do nuclei detection from a histopathological image. The original image and the mask (ground truth image or segmented image) are as follows:
The tissue image is (128,128,3) [RGB] and the mask is (128,128). Now, if I visualize with…
Prasanjit Rath
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