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Problem Description: I am working on automating the solution for a specific type of captcha. The captcha consists of a header image that always contains four words, and I need to segment these words ...
azooz's user avatar
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1 vote
2 answers
101 views

I would like to remove the circle surrounding the retinal blood vessels to keep only the interior. This is the source image where I applied segmentation. I want to remove the large white circle. ...
Nadzer's user avatar
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112 views

I am trying to make a pill counting model using only opencv so far I have tried to use otsu's method of thresholding to get dynamic thresholding values but it didn't worked out, I have used Contrast ...
rushi jhala's user avatar
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0 votes
1 answer
102 views

I have a such task: in image find for each pore (or blob) perimeter of contour. So, each contour I have to consider polygon (approximation) with some step value (distance between points) (for example ...
Alex 's user avatar
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108 views

I am using the library segment-geospatial to try and segment some plants in a raster image I have. image = '/content/drive/MyDrive/myimage.tiff' sam = SamGeo( model_type="vit_h", ...
pauzca's user avatar
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1 answer
78 views

I have binary images, and I would like to know if a given dark (0) pixel is inside a closed region (the pixel is surrounded by a closed line of bright pixels) or open region (there is a path of dark ...
samje's user avatar
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51 views

I have tried using ImageJ/Fiji but I am not sure how to best de-noise the image. I tried using the denoise function in Fiji to no avail. I was wondering if I could get some guidance. I was informed I ...
Han-Jiun Ke's user avatar
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3 votes
1 answer
450 views

This paper proposes a medical image segmentation hybrid CNN - Transformer model for segmenting organs and lesions in medical images simultaneously. Their model has two output branches, one to output ...
Ahmed's user avatar
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2 votes
1 answer
86 views

So I'm trying to create my own navmesh right now for fun. I've been able to construct a heightmap where each cell stores whether it's walkable(blue) or unwalkable(red). Heightmap Visualization What I ...
Dwclan's user avatar
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1 answer
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Context: I am using this neural network architecture developed by researchers called Dual Pyrimad Graph for a mesh segmentation task. The network expects the input to have 6 values: XYZ and RGB. I am ...
Noobie_learning's user avatar
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2 votes
0 answers
78 views

I am implementing Fuzzy C-means to work with image segmentation following the given algorithm : However when updating the centroids (this is the first thing that I do) all clusters centers converge ...
Albert4224's user avatar
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27 views

I’m working with a binary image generated from a microscopy image where I’m trying to calculate the surface coverage of stack-like structures (cells). The image visually shows these structures ...
Felicia's user avatar
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2 answers
269 views

This is the document page. I want to segment the 10 handwritten lines perfectly and then crop it to save it to train my model. What methods can I use?? I don't want to make my own model to segment ...
Hama Sabah's user avatar
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1 answer
103 views

I have two images: A binary outline of some structure (outline). Some surfaces inside this structure (surface). I want to merge those two images in a way that will leave no holes between them. To ...
Jarartur's user avatar
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75 views

I am trying to create an automatic instance segmentation dataset generator using Unity and OpenCV for Unity. Basically, the app takes pictures of objects at different angles and lighting situations ...
Philipp's user avatar
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93 views

I'm trying to write a script that will identify the circles projected in concentric rings of light. I realize the image is not the best quality, but I'm hoping to still find a way to identify the ...
Ross's user avatar
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84 views

I have obtained a binary mask using segmentation model in pytorch. I want to remove these small patches from the masks and make it clean. There should not be any misclassified pixels. The masks ...
user123's user avatar
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2 votes
3 answers
194 views

I have a noisy image with several bright spots that I need to identify and analyze. I've tried using simple thresholding techniques, but the noise level is too high, and it's difficult to isolate the ...
gear's user avatar
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1 answer
500 views

I have an issue with the YOLOv8 training output (from ultralytics), specifically the drawing of the labels (not the predictions). I do have a dataset of satellite imagery, where there is (segmentation)...
Sakuragi97's user avatar
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1 answer
258 views

I'm new to Python and machine learning and I have the following problem: I have annotated data in the COCO .json format. In this case, it is the surface area of corals on underwater photos that are ...
OnLeRo's user avatar
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123 views

I am currently working on image segmentation on dicom files, and I will have to distinguish between areas of the image, but due to the image noise, its hard to find the big faint square. this is the ...
Thanos Tsalas's user avatar
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0 votes
2 answers
45 views

This is the output of my Segment Anything Model: These are the segmentation results: masks = [ mask['segmentation'] for mask in sorted(sam_result, key=lambda x: x['area'], reverse=True) ] ...
mchd's user avatar
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441 views

I have this model for brain tumor detection project. I want to add Grad-Cam, but Most of implantations are in TensorFlow and the ones that are in Pytorch are in known models not customs. I want to ...
AmirHossein's user avatar
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124 views

I'm working on a medical image binary segmentation problem using a U-Net in tensorflow, and my classes are extremely unbalanced (about 1 in 10,000). As a result, my model wastes a ton of time going ...
Thao Nguyen's user avatar
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0 answers
143 views

So, I've been working on a segmentation project for about a year now. I've got a few methods which I'm applyiing to segment these images. Using saturation or luminance channels have been working fine ...
augustoL's user avatar
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1 vote
0 answers
107 views

I have a 3D segmentation mask, and I want to resize it to the dimensions of the ROI and remove the unwanted voxels around it. This is my code for creating the 3D bounding box around the region but it'...
curiousha's user avatar
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0 votes
0 answers
96 views

Binary mask: Expected image: I am working on OpenCV-Python and I have an binary image below. Next I have an "expected" image that has the contours on it. In this example image, it has 5 ...
LE Doan Phuoc's user avatar
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29 views

I'm training a U-net model for segmenting microaneurysms in diabetic retinopathy images. The dataset is imbalanced, with the background class (healthy tissue) dominating at around 96% and the ...
Muhammad hamza Shaikh's user avatar
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-1 votes
1 answer
87 views

I'm using resnet18 for for grounded image semgmentation but when I pass the input to the model I get this torch error: RuntimeError: Input type (torch.FloatTensor) and weight type (torch.cuda....
cudnn_account's user avatar
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1 vote
0 answers
50 views

I am attempting to find the governing equation for the Position(x,y,t) and Orientation θ(x,y,t) of these pellets, which collectively behave as a fluid. To perform flow analysis and find governing ...
LOL Ciskram's user avatar
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0 votes
2 answers
149 views

I'm trying to perform leaf disease image segmentation using Github code. Here is the code, i am facing this issue "The size of tensor a (524288) must match the size of tensor b (131072) at non-...
Urwa Shanza's user avatar
  • 27
1 vote
1 answer
2k views

Let's say I have a segmentation model (model) and I want to batch transform its predictions to pillow images. And, for simplicity, let's say everything is done on CPU (no GPU involved). If I do: ...
codersblock's user avatar
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0 answers
49 views

I'm using segmentation to detect road marking lines using the YOLOv8n-seg model. The segmentation mask represents the coordinates of the mask contour points in the image. segmentation of road marking ...
Lit's user avatar
  • 1
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0 answers
46 views

I'm trying to modify the code provided to successfully detect the elephant in the desk image. It is expected to identify the region containing the object of interest with a polygon (number of edges &...
Francesco Scipione's user avatar
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0 votes
1 answer
261 views

I am asked to develop an image processing pipeline using OpenCV python to segment a flower from a dataset of plant images and evaluate the images produced with the ground truth images. However, ...
user19766923's user avatar
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0 votes
0 answers
88 views

I'm trying to segment different templates of resumes (split resumes, normal resumes) using Python. The issue here is that sometimes the segmentation method is not splitting certain fields correctly, ...
hjer's user avatar
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0 votes
0 answers
213 views

I tried to use three.js to display nii.gz images but it was a headache. I don't know what I did wrong so I tried another method which is generate the 3D model using python. I was using MyVi but there ...
MarioComputer's user avatar
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0 votes
3 answers
679 views

I am asked to develop an image processing pipeline using OpenCV python to segment a flower from plant images. But I still have problems getting the accurate binary image. I'm given a data set of ...
user19766923's user avatar
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0 votes
0 answers
57 views

I am doing a project in medical image segmentation. For example, I have the segmentation mask for the darker region circled in red (already have a NN trained for its segmentation). I would like to ...
dzi's user avatar
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0 votes
0 answers
153 views

I want to detect quadrilateral with OpenCV. Shape might not be in diffrent colour than surface. e.g, It could be a rectangle hole on the surface. My current approach works great when: The object is ...
Krunal Patel's user avatar
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0 votes
0 answers
79 views

i'm using Mask R-CNN to segment cells in frames of videos, then the segmented cells are tracked by DeepSort. The tracker is actually working, the problem is that sometimes it's not able to track some ...
setzin's user avatar
  • 31
0 votes
0 answers
165 views

I'm working on a project where I have a segmentation image represented in a world frame, along with the coordinates of rectangles defined by their centers and corners within the same world frame. I ...
hunterlineage's user avatar
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0 votes
1 answer
834 views

I am training a Yolo v7 model on a dataset that I annotated, using Wong Kin Yiu's repository. The goal is to create a mask of the heart during surgery. I have had success with the model creating the ...
Alexander Rausch's user avatar
  • 1
1 vote
1 answer
262 views

I want to apply the exact same transformation to two images (image and segmentation data) using torchio. Both these images are stored in numpy arrays called image_data and segmentation_data. So far, I ...
SineOfTheTimes's user avatar
  • 61
0 votes
1 answer
69 views

I have some sprite sheets. In some cases, the bounding boxes of the sprites are overlapping, even though the sprites themselves are not overlapping: In other cases, the bounding boxes are not ...
Rahul Iyer's user avatar
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0 votes
1 answer
130 views

I was trying to create a segmentation model using a plane image dataset from https://www.kaggle.com/datasets/metavision/accurate-plane-shapessegmentation?resource=download Both images and mask are ...
maxvelichko26's user avatar
  • 3
0 votes
1 answer
110 views

I am working on an image segmentation CNN using Keras (pytorch backend if that matters). I am basing my code off the UNET segmentation code (here which utilizes Monte-Carlo dropout during predictions ...
ZebraEagle's user avatar
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0 votes
0 answers
337 views

IMAGE_PATH = "Akher-Saa-001-1934_Page_05.jpg" import cv2 from segment_anything import SamAutomaticMaskGenerator import torch from segment_anything import sam_model_registry import ...
Mohamed Mostafa Afify's user avatar
  • 1
0 votes
0 answers
150 views

I am working on a model to detect and segment cracks on a timber. I have very large size .tif files (5gb), to overcome the problem of size, I converted the images from stack to RGB and then cropped ...
Tanya Aggarwal's user avatar
  • 1
0 votes
1 answer
77 views

Is there a segmentation algorithm that is not based on pixel intensity but rather form of the resulting shapes? Imagine a grayscale image where simpler forms like Ellipses and curved lines are ...
Dani's user avatar
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