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Questions tagged [image-segmentation]

image-segmentation refers to the process of partitioning a digital image into multiple segments, typically to locate objects and boundaries.

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How to set sigmas and kernels for 3D-Laplacian of Gaussian filters to blob detection in Matlab?

I have written code according to a paper for Lung CT images, but its output wasn't correct. I think it is because of the setting of its parameters. The paper is about a multi-scale method using a ...
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Multifractal analysis of an image using wavelets

I want to measure the fractal character of images using a wavelet approach (if possible) in python. (E.g., maybe things like roughness, anisotropy, or just the fractal dimension - perhaps just ...
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GMM segmentation

I am looking for functions to perform segmentation of noisy medical images (grayscale) with GMM (Gaussian Mixture Models). I have found in MATLAB: ...
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1answer
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Can Normalized Cut be used to find connected components in binary images?

I'm unsure whether Normalized Cut can or can't be used to find connected components in binary images. I would argue that it could, but could not validate this argument.
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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'' ...
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MatLab-Finding error in hough line transform

Can I calculate the number of error in Hough Line Transform using MatLab? I did Hough Line Transform process from Canny Edge Detection, but it is unable to detect all the lines. Thanks.
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Numerator of Transformation from RGB to HSI color Space [closed]

So below is the formula for Conversion From RGB to HSI Color Space that I got from Digital Image Processing using MATLAB by Gonzalez We can see in the numerator of theta that (R-G)+(R-B), So,my ...
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61 views

Suzuki and Abe Boundary-Tracing Algorithm: Wrong Topology Results

Note that I use the terms Boundary and Contour interchangeably, but mean the same thing by both. I've implemented the "Topological Structural Analysis of Digitized Binary Images by Border Following” ...
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CIE-Lab changes on Light intensity changes

I am planning to use CIE-Lab color model for an image segmentaion method. If the light intensity of sun, some led source changes on the objectm then does it affects the a and b value of the data ...
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How to find corresponding points between two photos when there's a repeated pattern?

Suppose that I have two photos, I1 and I2 and I want to find a set of corresponding points between the two photos to define a homography between them. There are many algorithms for this purpose, ...
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Imposing constraints in mixture modeling of correlated data?

For 1-D signals (spectra) or 2-D signals (images), is there a way to impose the constraint that the data within a group is uncorrelated? I am iteratively applying background correction model fitted to ...
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Fitting a grid to points in a 2d space

I have this problem where I have multiple points in a 2D space. A subset of these points makes up a rectangular grid. Some points of the grid might be missing. The shape and number of points the grid ...
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Segmenting an image into columns

I want to segment the image below (click for bigger image) into columns based on the natural gaps that exist in the columns. The columns should be perfectly vertical and need not be the same size, but ...
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How to segment multiple overlapping coins (ellipses)

I am doing a program that counts coins (and tells their value by their size) with OpenCV (C++). Let's say we have an image of some coins. If there is an overlap of two coins at the same time, it is ...
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1answer
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Red Blood Cell Color Image Segmentation

I want to segment this Red Blood Cell Image on HSI color space.I want to try the Otsu Method but from what I read that method work only on Grayscale image.Do you have any suggestion for suitable image ...
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What is a basic method to segment “dark blobs”?

I'm new to image processing, but I have good knowledge of general data processing. Could you please suggest an approach which can be used to segment images like this? I suppose it is some kind of ...
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3answers
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How to determine if a pixel is inside a contour?

I have following picture which I extract the contour from. The contour looks like following I am wondering, for any pixel in the image, how do I determine if it is inside the contour or not? Say "...
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Labelling a connected 3d object from a stack of 2D masks

I was wondering how I would be able to label a 3D object given a stack of 2D mask slices. The 2D masks are binary, foreground, and background. I stack them on the z-axis to generate a 3D mask. To ...
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Extracting overlapping features in an image when individual features are known

Consider this image: Which is a sum of two different sets of features: The first is a collection of overlapping squares with value of 5 and the second is a collection of overlapping squares with ...
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How to produce the Semantic Segmentation Dataset?

I am preparing my own synthetic data-set, to pre-train my deep learning model. I have produced images and there corresponding masks using some python scripts, but I am not able to find the way of ...
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1answer
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Lighting for computer vision automisation

Currently I am working on a computer vision project where we want to gather data from a composite material production environment. I have an example picture here: What I learned so far that my ...
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1answer
73 views

Circle detection with incomplete edges

I want to detect circles in the image below but this approach, of using cv2.approxPolyDP on contours and counting the sides of the polygon, doesn't work here since some of the circle is missing. Is ...
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How to extract text from scene images?

I tried many methods for segmenting images like the example below ; but i obtained no efficient result can someone suggest me a good method for extracting text from complicated images like this ...
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1answer
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How does reconstruction function relate to watershed segmentation?

I'm trying to understand how watershed work by reading The Morphological Approach to Segmentation: The Watershed Transformation S. Beucher and F. Meyer This document mentions the reconstruction ...
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Agregate texture information at the superpixel level

I am extracting land use information from historical maps. My approach involves segmenting the images into superpixels (SLIC) before assigning them to a class using random forests. I am using GLCM ...
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Fast Calculation of Legendre moments in images using kernel-separability

I am implementing zero order approximation method to calculate Legendre moment of an image. One simple way to calculate moments is directly using loops and calculate the double summation as given in ...
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2answers
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Image processing: How to find center of biggest blob in an image?

Let's say I have an image like this one, and have masked it so all yellow pixels are 1 and all black pixels are 0. I would like to (1) fit the largest possible circles containing solely yellow pixels ...
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Segment a shape in blobs

I have shapes that look as follow (binary mask): On these shapes, I would like to isolate the "blobs" (and therefore also get the straight segments that connect them). For examples this is the result ...
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207 views

What is the application difference between extent and solidity in image processing?

I've come across the image object properties, "extent" and "solidity." Definitions are pretty straightforward to understand: Extent of an image object is defined as area of the image object divided ...
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2answers
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Double Threshold Mechanism

I was studying an article about optical music recognition. Somewhere in segmentation section is mentioned that The final step consists of isolating the note heads. This is performed by using a ...
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39 views

How to detect particles having random size and shape?

The task is to be able to detect particles in an empty glass bottle having size and shape ranging from that of a grain of sand to that of a fragment of paper. I have tried a few things, namely: ...
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1answer
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Suggest an image segmentation technique to find the paste radii?

I am new to MATLAB/Digital Image Processing. So pardon me for any typing errors or wrong use of jargon. 1) I am trying to find the paste diameters for a total of 100 images in sequence. I am posting ...
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56 views

Mid-point of worm-like objects

I have a video of worm-like objects which move. They can move in a straight line, they can rotate in circles, they can move in a serpentine/winding/sinuous way. I need to track them. I already have ...
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1answer
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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: ...
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1answer
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Segmentation of high noise, high density and low resolution image

I've come across a particularly difficult segmentation task. It's optical coherence tomography data, that has a lot of noise and, compared to the particle size (radius= ~3-6px), low resolution. This, ...
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Numbering objects in segmented aerial image

I am relatively new to image segmentation and have been struggling with some implementation aspects. I have followed code using google earth engine that is located here. The output is a segmented 1 ...
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1answer
70 views

Is deep learning the only way to detect humans in a picture?

I'm looking for a way to detect humans in a picture. For instance, regarding the picture below, I'd like to coarsely determine how many people are in the scene. I must be able to detect both standing ...
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1answer
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Histogram of gradient

I was calculating which would be faster in computation, Inverse Fast Fourier Transform or Histogram Of Gradient but I am unable to calculate its running time. What would be the running time of ...
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Segmentation assessment for supervised learning problems

What are the contemporary state-of-the-art methods for the assessment of image segmentations in comparison to an expertly labeled ground-truth? I'm aware of area and location based metrics such as ...
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Why use Active Contours segmentation (snake) over Level Sets segmentation and vice versa in image processing?

I am reading about segmentation and I cannot seem to figure out why use active contours over level sets and vice versa. Basically the way I understood it, level sets is relatively the same ...
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How to obtain the relative position (coordinates) of SIFT feature from image center coordinates?

I have extracted SIFT features (keypoints and descriptors) of training set and saved in an inverted index form. My question is how can I calculate the coordinates of each visual features in an image ...
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Balloon Model in Image processing

I am was going through different ways of extraction of broken edges. I found this slide Practical Computer Vision: Theory & Applications about different types in image processing. From Page 37 ...
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quantitative comparison in edge detection algorithms

I have a grayscale image. I did edge detection on it with my algorithm and with known operator such as Sobel and LoG in MATLAB. How can I compare result of them quantitatively in MATLAB?
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1answer
775 views

Calculating distance between two blobs in a binary image in microns

I have a monochrome CCD camera with resolution 960 X 1280 and can give up-to 15 fps I am working on python opencv. I want to track the distance between two rectangular blobs in binary images in real ...
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SSIM index: Clearly explained

I am trying to understand the SSIM index to compare two images for similarity, but I am having difficulties understanding how it is done. Therefore, I would like to ask, if someone can explain it ...
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1answer
326 views

Edge detection in low contrast images

I have some images which have some objects of my interest. The objects have very low contrast w.r.t. background and I would like to detect the edges of these objects in these low-contrast images. Any ...
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1answer
773 views

Detect circles in image

I have an image that has pixelated circles in it (a cross section of wires). I want to identify the wires, their location and count them. The circles never overlap and the wires are all within a 95% ...
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1answer
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How to transform an aerial image

This is the first time I'm diving a little deep into images and computer vision. I have an aerial image taken from a drone (I know the pitch, roll, yaw of the drone and the angle of the camera ...
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Segmenting connected object(cloths) into two instances(top and bottom)

i am working on cloths segmentation.one example of my input image is: i have able to get following segmentation results using image processing techniques Now i have to segment Top and Bottom of ...
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3D image segmentation

Re-written more specific question For the details of my segmentation algorithm, see the original question below. I have managed to improve the segmentation considerably by using a different strategy ...