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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Detect circle using Hough transform

I am new to image processing and try to learn how to detect circles using the hough transform in Matlab. I have a shortcode that seems to contain no errors but when I run it I get the image but with ...
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58 views

How to sharpen hair strands in an image?

I have an image like this: I am trying to build a semantic segmentation and matting model which currently gives an output like this: One can see that some regions between the hair strands are fuzzy....
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Approaches to Segmentation in images of water surface

this is my first question here. Therefore please help me inform me when I miss any good practice in asking questions here. Given a short video sequence of an water surface, I would like to detect if ...
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unsupervised local texture segmentation

I'm working on a problem where I need to segment a 3d image (unsupervised) based on locally computed texture parameters. So far I've been using a sliding box approach, computing various texture ...
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How to make ground-truth image for document image binarization task?

The two images are from DIBCO (Document Image Binarization Contest). The objective is to find a solution to binarize the top image (original image) to be similar to the bottom one (ground-truth image)....
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Logical Steps to segmenting Lung Fissure Structures

I am given the task to do the Lung Major Fissure Segmentation in a CT image to find it's position in an image. This is what a Major Fissue looks like: https://www.med-ed.virginia.edu/courses/rad/cxr/...
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Thermal image based segmentation [duplicate]

I'm working on a project to do segmentation of thermal images. So far, the methods have produced limited segmentation performance (k-means, Otsu's Method, Sobel, Canny, LoG). I am trying to achieve ...
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Size filtering on binary images

I have noisy images from which I extract the contours using OpencCV's findCountours, which performs binarization internally. This results in innumerable small ...
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drawing a line from where the tires meet the ground

I followed these steps to write a program in Matlab to detect the edge of the wheels where they meet the ground.
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Does anyone have any experience with using the David Stutz superpixel benchmark?

I have been trying to compute the statistics of my image segmentation algorithm by using the superpixel benchmark as given on the link https://davidstutz.de/projects/superpixel-benchmark/. I would be ...
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MATLAB Image-Processing Toolbox: asking for a roadmap!

I plant trees in the north of BC for a living and have next to none sp experience, please be gentle :^] TLDR: The problem is essentially this: tracking and calculating the "height" of three ...
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Camera obstruction detection

I'd like to detect if camera view is obstructed (fully or partially) by some object (paper, hand, some device, etc). Do you know any good methods for this task? I've already experimented with: RGB ...
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How to create 3D signed distance function?

I am trying to segment a 3D shape using levelset. I want to track shape movement in consecutive frames. Now I want to create a signed distance function matrix for ...
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Once spines recognized, how do I find each individual book?

I want to make a system like the Book Spine Recognition on Youtube. So I read research paper and I built this system. According this paper, I use Hough transform, then I recognize book boundary ...
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How to segment blood vessels and detect malignant? [closed]

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 ...
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48 views

Best colour to detect

I am using emgucv with opencv. I have an object I wish to detect based on colour. I convert the image to Hsl colour space and perform a filter on it. The object I am detecting is perceived as yellow ...
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52 views

How to Remove the Patch Artifacts of Neural Network Denoising Process?

I have written a python script which uses the Noise2Noise: Learning Image Restoration without Clean Data implementation of the Auto Encoder which is useful to remove noise from images. In the original ...
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Disabled parking sign detection

I would like to ask you, if you could recommend some algorithm for detection of handicapped or disabled parking sign painted on the road or on the traffic sign. I am thinking about image morphology (...
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How to separate spliced(photoshopped) part from the rest of the spliced image?

I'm working on a project to detect spliced images and want 128x128 patches at the boundaries of the forged regions. I have the authentic background image and the spliced(photoshopped) one. If I ...
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79 views

How to extract a smooth contour from a set of points in 3D?

I am trying to segment a 3D volume. The outcome of all my volume segmentation algorithms is a set of candidate points in 3D space. Now I need to smooth this point cloud and fit a closed surface it. My ...
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Microscopy crystal particle object length detection

Hi I try to detect the particle length size from this image and I'd like to get the length size of the particle Like this below. and get the histogram of the size of the particle using centroid and ...
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Crop all written letters from single image

Above image has handwritten hindi / deavanagari letters all on a single image. Task is to Prepare a dataset from the given assignment.jpg image using image processing tools Idon't have clarity ...
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Text detection and recognition from Image

Let say you are given this image and want to detect and recognize the digits printed on the fuses. for all CV-operations i used OpenCV 3.4.4 and Python I did already these things: Detection: 1) ...
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Finding Local mean value of pixels of window

I want to solve the equation (2) in the attached picture which tells the local mean value. But i don't have any idea about how to evaluate this equation using matlab code. could only guess w indicates ...
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fitting lines based on image content with python

I trained an algorithm for road semantic segmentation that gives an output like this: I want to retrieve the coordinates of the vanishing point (the top of the triangle) and to fit two lines ...
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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. ...
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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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185 views

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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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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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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124 views

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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185 views

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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210 views

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
558 views

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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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
109 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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1answer
49 views

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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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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176 views

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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646 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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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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1answer
64 views

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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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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361 views

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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105 views

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, ...