Questions tagged [image-processing]
For questions related to image processing (in the context of AI).
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How to accurately detect grid cell boundaries in Python image processing?
I'm working on a Python algorithm to detect individual cells of a grid passed by an image. Currently, I'm facing an issue where the values inside each cell are being selected as contours along with ...
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Watermark removal without inpainting
Suppose I have a bunch of images that have been watermarked with a transparent logo with some unknown blending function g as ...
- 159
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Change face landmarks using face mesh
I'm trying to use computer vision or image processing techniques to make nose smaller. Using a SDK called mediapipe we are able to get face mesh, which provides ...
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Why does the SIFT algorithm also capture keypoints at points where there is no change in color components?
Why asking image processing in here?
My question is, about image processing. I can't find stackexchange site to ask about image processing, so I asking in here. Image processing is closed at computer ...
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Building an algorithm that detects an area delimited by a quadrat
I want to build an algorithm that takes an image and outputs the same image, but cropped so that it focuses only on a particular area delimited by a quadrat, like so:
This is not my image as I am not ...
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44
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Calculating Homography for Image Stitching
Given two images that were taken from the same camera by pure rotation about the camera center, I am trying to stitch the images.
I identified the 4 corresponding pair of points by loading in the ...
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Choosing a Deep Learning model to analyse microscope images
I have lots of simulated training data of microscope images and I want to train a network to count the number of points in the image. These points are distributed in concentric oblate shells. The ...
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Feeding variable length of 2D image slices of the MRI into the deep neural network
I am trying to build a classifier that would predict the correct outcome (disease vs healthy) using a set of 2D slices derived from the 3D MRI scan. For each patient, based on the 3D scan, I am able ...
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Can Vision Transformers be used to extract features?
Can Vision Transformers be used to extract features, just like with VGG ?
I am interested in using this vision transformer in extracting features (https://huggingface.co/google/vit-base-patch16-224)
...
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Challenges in Developing AI Algorithms for X-ray Image Analysis on Large Datasets
Hello everyone,
I'm currently working on a research project involving X-ray imaging
and the development of AI algorithms to detect diseases from large
...
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How to implement Image Fusion Equation in Python
I am new to image processing. I am trying to implement this paper. (official implementation is available on github the link for the same is given below) I have applied one fusion strategy. I am not ...
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61
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CNN how to measure the amount of FPS that can be processed?
This is my first question in the AI stack exchange. I want to ask about how to measure how many FPS can a CNN model process during real time detection. I am working on a real time detection system ...
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Software to auto-mark facial points on images [closed]
I'm not interested in facial recognition per se, but my question is related. Is there a software (commercial, Github etc), which can mark, with color dots, the same reference points on a face (e.g. ...
- 111
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When should grayscale processing be applied to image inputs in visual reinforcement learning environments?
I am currently working with visual environments in Reinforcement Learning (RL) and have noticed differing practices regarding preprocessing of image inputs. Specifically, in the Atari environment, a ...
- 51
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How is the number of channels in a convolutional layer shrinked or expanded?
I know in order to shrink or expand the number of channels a 1x1 convolution is performed.
I need to clarify the following: is the 1x1 convolution(s) just a matrix multiplication between the image ...
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How can we implement specific face makeovers with Stable Diffusion?
I need suggestions on what should be the exact process to achieve this use case. I have seen tools like this but I am not sure how they are operating on the backend and which techniques and APIs are ...
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Do all CNNs learn to detect edges in the first layer?
I was looking at 3D CNNs that process volumetric data, e.g. for MRI images of brain, where the input is a 4D tensor, and I couldn't find images from the filters of the first layer.
Suppose that ...
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Connecting Human poses with BB
I am trying to estimate the crossing patterns of pedestrians based on their poses. I have a large dataset that contains videos named JAAD dataset. I want to make a prediction of the crossing based on ...
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What is the best approach to remove this additional container from the cropped image?
I'm working on a computer vision application in Python to analyze images of ice cream cuttings to measure the amount of variegate(ie. fruit syrup or fudge) compared to the base ice cream. My approach ...
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how to preprocess satellite imagery for semantic segmentation?
I have to train binary semantic segmentation in Python(using Tenforflow, rasterio, geopandas, sh). And I have raster .tif images and vector .shp images which is mask. I know that I should divide each ...
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How to create Nodes out of segmentation Mask of Objects in an image
I am new to geometric deep learning. I am trying to use GNN to create nodes based on the objects present in an image. However, most of the online resources refer to creating nodes equivalent to the ...
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126
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Clustering bounding boxes to reduce image cutout overlap
Given an image and bounding boxes identified within this image, the objective is to group these bounding boxes in such as way that we can define a bigger bounding box of size NxN that will encompass ...
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(In stable diffusion) Why are the vae encoded latents sampled by adding randomness to their mean, instead of just taking the mean directly?
In the diffuser's code base they calculate the input img2img latents in the following manner:
...
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Why is it that histogram equalization actually distributs all intensity values uniformly over the whole range?
This article shows the following transformation function for histogram equalization
$$s = T(r) = (L-1) \int_0^r Pr(w) \,dw$$
Where $L$ is the maximum value a pixel can achieve. $Pr(r)$ is probability ...
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Resizing segmentation masks
I am trying to run a semantic segmentation model.
The problem is, my data has different resolution for every image and for corresponding segmentation map (image and corresponding segmentation map ...
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24
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How does the skin color follow Gaussian distribution in YCBCR?
I am still new to image processing and machine intelligence. I wanted to make a Python program that can isolate an image of a hand from the background to detect a specific hand gesture, so I came to ...
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99
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Methods for combining features other than concatenation
I am working image reconstruction project. It is a part of multispectral image fusion. I am referring paper in the link mentioned below.
paper link: https://arxiv.org/pdf/2101.09643v1.pdf
For image ...
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69
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Is it feasible to perform facial recognition on hundreds of thousands of individuals?
I came across a video with the title "you can buy things with your face in China". in the video, a woman scanned her face into a vending machine to buy a drink with only her face and without ...
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Can Stable Diffusion be considered a breakthrough for reconstructing images from fMRI data?
https://sites.google.com/view/stablediffusion-with-brain
I recently came across a paper (not yet peer-reviewed) that describes the successful use of Stable Diffusion to reconstruct images based on ...
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78
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Image Alignment/Homography of Subject in Bounding Box
I've been trying to design an algorithm for aligning an object across two photos in realtime. I am able to localize the object (create an ROI/BBox) through an object detection (siamese) network for ...
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using bitmaps for storing and analyzing numeric data (use case: flight sim game AI)
I had idea of storing flight mission data in bitmaps for analysis.
Data stored could be velocity vector of our aircraft, velocity vector of target, location relation vector between the two, aim lead ...
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Best approach for object detection with a small dataset and large shape variation
I want to train an object detection model to detect an object of interest. I have about 400 annotated images taken by a fisheye camera from different positions, orientations and distances, and a ...
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108
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How do I know if image after image enhancement is better than before? (Image Preprocessing)
There are few common image enhancement:
...
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What computer vision techniques can help me select the best image for object detection inference?
I have a lot of duplicate images. I need to make a selection to reduce the amount of images the Mask RCNN model will perform inference on.
In every collection of duplicates, the images slightly differ....
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How does one deal with images that are too large to fit in the GPU memory for doing ML image analysis?
How does one deal with images that are too large to fit in the GPU memory for doing ML image analysis?
I am interested in detecting small structures on images which are themselves many GB in size. ...
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Converting RGB images to Thermal Images
I am working on a project where I am planning to convert RGB images to thermal images. I can convert to either near infrared spectrum images or far infrared spectrum image.
I am planing on using ...
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How can I solve the blurring problem in GAN generated images?
In my project I work in dresses dataset. I can solve the problem of black pixels but blurring still existed. I tried many computer vision filters like median filter, Biliteral filter, Sharpen methods ...
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Document Processing using AI
Deal all
I want to Build a Document Processing AI Model
1-that Identify Document Elements
Like table, Text , List , Heading , etc.
2-Sort this element in correct way if I wan to dump this data as XML
...
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Can Inception-ResNet be inverted layer-by-layer?
It has already been shown that by using a normalization layer during training, it is possible to invert a residual network layer-by-layer.
I wonder how similar Inception-ResNet is and whether a ...
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How do L2 norm and Jacobian act as a regularisation term to encourage smoothness in a deformation field?
How do L2 norm and The Jacobian act as a regularisation term to encourage smoothness in a deformation field? from the VoxelMorph original paper (here) they used Jacobian as a means to smoothen the ...
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Are the "artifacts" in select Keras MNIST training images really there or is my download corrupt?
I'm having fun with a ludicrously well known and used dataset: mnist.
I am doing it with a huge and well known tool: keras.
Please excuse the red dots, something else I was doing. I have otherwise ...
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66
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Segmentation of x-ray images to detect Covid-19
I’m currently working on covid detection project using x-rays. I applied K -means clustering algorithm (https://www.kaggle.com/code/naim99/image-classification-clustering-step-by-step?scriptVersionId=...
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399
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What is regression activation maps?
I stumbled across a research topic : "the training of multiple regression activation maps (RAM) to study the interaction between two images". But, I cant find any decent definition of "...
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Extract a document page from a photo
I am trying to extract a document as an image from another image. Let's say that we take a photo of a document on a surface. My ultimate goal is to be able to digitize this document but as an image, ...
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How to classify images which are slightly different from each other?
(I hope I'm in the right place to ask such a question.)
A robot has a fixed camera which takes images before extending its sticks to grab a box from two sides and pull it back. But if the box is not ...
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Does the order of a Numpy array matter for CNN classification?
Image classification of RGB images in a Convolutional Neural Network is usually done by feeding the CNN first layer with a Numpy array with dimensions: pixel array by the number of channels. Example: [...
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Can an AI generated image (such as pic of human face) be detected that it's AI generated?
AIs are getting better and better at creating images and art. Some of the stuff is almost impossible to be detected by the naked eye. But what about programs and algorithms? Instead of creating an ...
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Is batch size of 1 a valid choice for a very deep neural network with high memory requirement?
I am training a very deep neural network (Panoptic-DeepLab) with a ResNet34 backbone on Google Colab on CityScapes dataset for Panoptic Segmentation, and noticed that, with a big crop size, the batch ...
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How to calculate the total number of inputs in CNN?
I search this kind of question for a while and I find many discussions involve on counting the number of parameters of a Convolutional Neural Network, but not on the inputs. Using the Fashion MNIST ...
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What are the possible ways to handle imbalance in multi-class image datasets?
Image imbalance is one of the major factor in the performance of DL model. Some of the methods that I found to tackle this are oversampling, under-sampling, SMOTE. Over-sampling has cons as it makes ...
