Questions tagged [image-processing]
For questions related to image processing (in the context of AI).
91
questions with no upvoted or accepted answers
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Best Machine Learning Model for "Predicted" Image Generation
I am currently working on undergraduate research to determine hotspots for hand-surface contact. Ideally, I would like to give the model a depth image as input:
Example of synthetic depth image
and ...
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166
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Is the GAN architecture better suited for medical image denoising than the CNN?
I'm considering using GANs for medical image denoising, based on previous literature, like this and this. My input to the GAN would be a high-noise image and my ideal output would be a low-noise, high-...
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Enforcing sparsity constraints that make use of spatial contiguity
I have a deep learning network that outputs grayscale image reconstructions. In addition to good reconstruction performance (measured through mean squared error or some other measure like psnr), I ...
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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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46
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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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When are traditional image processing methods preferable to machine learning and why?
By traditional image processing I understand, e. g. using filters to improve the image, extracting edges and then classifying objects using template matching.
My current decision criteria are:
large ...
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2
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20
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Predicting the the motion of a 3D object when the motion of a set of markers is known
trying to figure out where to get started with this:
I have a few hundred CT images where certain three-dimensional features in the image (anatomy) are moving in a correlated fashion with a set of ...
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43
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Can a neural network whose output is uniformly equal to zero learn its way out of it?
I am performing a regression task on sparse images. The images are a result of a physical process with meaningful parameters (actually, they are a superposition of cone-like shapes), and I am trying ...
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Is there an efficient way of determining the layers with the best performance as feature extractors in GoogleNet?
I am using a caffe model of pre-trained GoogleNet trained on ImageNet from here for image retrieval task (place recognition, more specifically).
I would like to know the layer with best performance ...
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43
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Which neural network algorithms can be used to map motion vectors in image processing?
I'm working on finding out the motion vectors of objects in images. The inputs are the images of objects in motion. The outputs of neural network are the object name, direction of object vector and ...
- 121
2
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529
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How to Extract Information from the Image
I'm trying to extract some particular information from the image(png).
I tried to extract the text using the below code
...
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188
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How can I detect fast and slow motion in videos?
I'm trying to detect if a given video shot is fast or slow motion. Basically, I need to calculate a "video motion" score in a given video sequence, meaning how fast or slow motion the video is. For ...
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2
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127
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Recognition of lines in a chalkboard
I'm trying to develop a real-time application that, from the sequence of chalkboard images captured by a webcam, recognizes the lines being draw on it.
It must be able of recognize the lines from ...
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26
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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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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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67
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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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28
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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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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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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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177
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How can I produce crossbred images out of two datasets?
I'm very new to AI and deep learning. So my question is going to be very basic.
I'm trying to understand which approach I would need to use to cross-breed set of images. Let's say I'm having dataset ...
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259
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Is there any way to remove background of an image fully with the help of post-processor techniques(like edge detector) after deep learning based model
I'm using a deep learning-based model (deep lab v3+ with xception as the backbone) for image segmentation and removing the background. The subject of the image will be a person. And my target is to ...
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Convolutional Neural Network (CNN) with Tree architecture to organize the number of classes
At the moment, I have around 1.000 classes with accuracy and loss that are acceptable. In the long term, there could be more than 100.000 classes. The main problem is that every time a new class is ...
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In SIFT, how is the coordinate system being rotated?
I need to understand how SIFT calculates the descriptors for the keypoints.
Intuitively, I understand that it takes each keypoint, calculates the gradients for each pixel in a neighborhood of the ...
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What do "spatial" and "temporal" mean in the context of image processing?
I am new to image processing. I am trying to understand CNNs from this blog post. Here's an excerpt from that article that mentions these terms.
A ConvNet is able to successfully capture the Spatial ...
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46
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SAGAN - is there a mistake in the original paper?
in the original paper the following scheme of the self-attention appears:
https://arxiv.org/pdf/1805.08318.pdf
In a later overview:
https://arxiv.org/pdf/1906.01529.pdf
this scheme appears:
...
- 111
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84
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For image preprocessing, is it better to use normalization or standartization?
For a neural network model that classifies images, is it better to use normalization (dividing by 255.0) or using standardization (subtract mean and divide by STD)?
When I started learning ...
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106
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Does the order of data augmentation and normalization matter?
What is the preferred order of data augmentation and normalization? Is it the former followed by the latter?
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61
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Face detection and replacement in photos
I have 2 photos, and my goal is to detect the face in one and place it on the face of the person in the other photo- basically face detection and replacement. It's not deep fakes. It's more of a ...
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25
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What is a wavefront algorithm?
I am designing and researching algorithms which I call of a wavefront nature. It is image analsyis agorithms when every pixel may change many times during the processing. I have heard this name before,...
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127
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Would it be possible to use AI to measure pupil dilation diameters and fluctuation, on video films on a regular webcam?
I've been researching the topic of Cognitive Load Measurement through pupil dilation measurement. All solutions to pupil dilation measurement require some kind of special hardware setup. I was ...
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How can traditional edge detection algorithms be implemented on a GPU?
How can edge detection algorithms, which are not based on deep learning, such as the canny edge detector, be implemented on a GPU? For example, how are non-edge pixels removed from an image once it ...
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301
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How to choice CNN architecture for stitching images
I decided to start learning neural networks by creating a bot for the game. One of the intermediate steps is to create a global map from a series of inaccurate overlapping sub-maps. This task can be ...
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Is Reinforcement Learning what I need for this image to image translation problem?
I have a paired dataset of binary images A and B: A1 paired with B1, A2-B2, etc., with simple shapes (rectangles, squares).
The external software receives both images A and B and it returns a number ...
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61
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Is subsection generation $O(n^4)$
When I say template matching, I'm referring to finding occurrences of a small image (the template) in a larger image.
The OpenCV library provides the trivial solution, that slides the template over ...
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72
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Banding artifacts in CNN
I was working on a CNN for HDR image generation from LDR images. I used an encoder-decoder architecture and merged the input with the decoder output. However I'm getting some banding artifacts in the ...
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Super-Resolution with Convolutional Neuronal Networks, why interpolation at the beginning?
I have read several papers about super-resolution with CNNs, where a low-resolution image is reconstructed to a high-resolution image.
What I don't understand is, why it is necessary to interpolate ...
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230
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How to handle extremely 'long' images?
After transforming timeseries into an image format, I get a width-height ratio of ~135. Typical image CNN applications involve either square or reasonably-rectangular proportions - whereas mine look ...
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64
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Train an AI to infer accurate mathematical calculations by simply “looking” at images of shapes/objects
I’d like to build a model that has an understanding of geometry, where it can be applied to question and answering system. Specifically, it would be nice if it could determine the volume of an object ...
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What are some of the best methods in detecting facial movement using state-of-the-art machine learning models?
I am currently working on implementing a lip reading system in Python using machine learning and image processing. Currently, two initial implementations have provided promising results, albeit not ...
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What's the best solution to find distance of an object to camera?
I have an object with known size and I want to know that's the distance from the camera and camera angle. Is there any way to do this? I have a single source (camera).
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Train AI with shapes + drop shadows to remove background colors
for a screen printing app, I'd like to remove background colors from images.
There is still a white border around text from anti-aliasing.
Dropshadows also break it.
So, I was thinking I could train ...
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130
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Rendering images and voxelizing the images
I am using the shapenet dataset. From this dataset, I have 3d models in .obj format. I rendered the images of these 3d models using pyrender library which gives me an image like this :
Now I am using ...
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Find the nearest object in a image which is captured from camera?
Objective : To find the nearest object (closer distance object) in the single camera image. But Image Contains multiple objects shown below:
I searched in the net and found this formula to ...
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What is the difference between principal component analysis and singular value decomposition in image processing?
What is the difference between principal component analysis and singular value decomposition in image processing? Which one performs better, and why?
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Do backgroundSubtractor functions in opencv only detect moving objects?
There are some backgroundsubtractor functions in opencv like backgroundsubtractormog2 , backgroundsubtractorGMG and ... . It seems that these functions only detect moving objects in a video.
But I ...
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How to measure object size from the disparity map using CNN?
I am a student learning about image processing using CNN. I want to learn how to measure the object size from the disparity map obtained from left and right stereo images.
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Are there any deep learning techniques to use the content of an image for another image?
Are there any machine learning or deep learning techniques to use the content of an image for another image?
More specifically, suppose I take a photo of a notebook. I get the angle, lighting, and ...
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CBIR Evaluation on contextually different data
How good would a CBIR system trained on a dataset, for example, DELF, trained on the Google Landmarks dataset, perform when evaluated on a contextually different dataset such as the WANG or the COREL ...
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What models and algorithms are used in commercial vehicle re-identification tasks?
Due to the fast-growing applications of AI technologies applied to vehicle re-identification tasks, there have already been hot contests, such as the Nvidia AI challenge.
What algorithms or models ...
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How can I develop this ML/AI system that I want to use in my new mobile app?
I have an idea for a new mobile app. Here is what I want to accomplish using AI;
I want to get an image (png format), (maybe just byte data too), from my application (I'm developing with Unity3D/C#), ...
