Stack Exchange Network

Stack Exchange network consists of 174 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

Visit Stack Exchange

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

0
votes
1answer
11 views

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 ...
0
votes
0answers
9 views

Otsu Segmentation [duplicate]

I tried to do Otsu Segmentation on this Image But I get this following Result I want to segment that first picture using Otsu Method,so what I want to achieve is the "purple cell" in the center.
1
vote
1answer
31 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 ...
1
vote
1answer
76 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 ...
1
vote
0answers
24 views

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 ...
0
votes
0answers
11 views

How can I do operations only to the perticuler segment of image(non-rectangular, Ex: Triangular region) in opencv, python

I use opencv with python to implement the segmentation based on delaunay triangulation. So, I used the subdiv2d as for the triangle generation. What I want to do is,...
0
votes
0answers
19 views

Detecting Separate Contours on Image's Edge-Map

I've implemented the Canny edge-detection algorithm, which produces a 2D binary-map of edge/non-edge pixels (in Java, is that's of any matter). It performs the ...
1
vote
3answers
78 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 "...
0
votes
0answers
9 views

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 ...
0
votes
0answers
21 views

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 ...
0
votes
0answers
35 views

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 ...
0
votes
1answer
20 views

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 ...
2
votes
1answer
66 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 ...
0
votes
0answers
49 views

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 ...
0
votes
1answer
33 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 ...
0
votes
0answers
13 views

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 ...
1
vote
0answers
14 views

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 ...
2
votes
2answers
59 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 ...
0
votes
0answers
15 views

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 ...
1
vote
1answer
123 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 ...
1
vote
2answers
46 views

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 ...
0
votes
0answers
34 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: ...
1
vote
1answer
52 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 ...
2
votes
0answers
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 ...
3
votes
1answer
148 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: ...
0
votes
1answer
42 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, ...
0
votes
0answers
12 views

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 ...
2
votes
1answer
68 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 ...
0
votes
1answer
44 views

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 ...
0
votes
0answers
15 views

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 ...
1
vote
0answers
15 views

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 ...
0
votes
0answers
40 views

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 ...
0
votes
0answers
36 views

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 ...
0
votes
0answers
24 views

Fast Segmentation and labeling of large images

Previously I have worked with segmentation and labeling of images with reduced size. Using this, I could accomplish shape and character recognition, in controlled environments (meaning the camera was ...
0
votes
0answers
37 views

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?
0
votes
0answers
31 views

Why we can take average for level in Otsu's algorithm?

This question is about Otsu's algorithm On page 727 of Digital image processing by Gonzalez(3rd edition), it said, Obtain the Otsu threshold $k^*$, as the value of $k$ for which $\sigma^2_B(k)$ is ...
0
votes
1answer
582 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 ...
1
vote
0answers
151 views

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 ...
0
votes
1answer
274 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 ...
1
vote
1answer
604 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% ...
2
votes
1answer
74 views

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 ...
0
votes
0answers
29 views

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 ...
2
votes
0answers
904 views

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 ...
0
votes
3answers
178 views

edge detection evaluation methods [closed]

I'm working on some edge detection algorithms that I want to evaluate them. I want to know what are standard ways to evaluate them that check does them work better that old ones or no. thank you for ...
0
votes
1answer
38 views

Why is it called 'multi-level thresholding', if only the best threshold is selected?

I'm referring to Otsu's thresholding, and saw this from his paper: When he says he's trying to maximize the between class variance of thresholds k* 1 and 2, is it the threshold with maximum value ...
2
votes
1answer
53 views

Is document image binarization a closed research field [closed]

A lot of work has been done in the field of document image binarization. Is it a closed research field or still an interesting challenge area? I am new in the field, and just curious.
0
votes
2answers
89 views

How to detect the fuzzy edge in this image?

I am trying to process a lot of images of bacteria. As you can see from this image, when several bacterias are very close, the boundary tends to be very fuzzy. I try to binary the image or detect the ...
3
votes
0answers
142 views

stones' detection in jewel image

The project I am doing is to detect stones in an image of a jewel, so as to get the idea of the deduction to be made in the gross weight of the jewel. I have done image-segmentation in the HSV color ...
0
votes
1answer
313 views

Seed Region Growing Threshold

I have this matrix The following points R1 = (1,7) = 0 R2 = (3,2) = 6 R3 = (5,5) = 3 R4 = (7,3) = 1 And using this equation |g(seedi) – g(pixel)| < T for T=1 ...
0
votes
0answers
153 views

Machine learning to find an optimal set of parameters for a segmentation algorithm

Using machine learning to find an optimal set of parameters for a given segmentation algorithm. In the "classical" case of machine learning, in the training phase, the data set is constant and the ...