Questions tagged [image-processing]
For questions related to image processing (in the context of AI).
114
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3 views
What is the best way to train neural network with imbalanced mixed data? Images and structured data
I have structured data and image data to solve regression problem. One sample of structured data can be related to N images. If I use only structured data, I get decent performance, but not enough to ...
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2 views
Which one i should use for captioning?
I have a model that doing a classification and detection. Each one of them has its own class and i need to do captioning so i ...
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12 views
New image-to-image translation algorithm for other type of tasks
I found this amazing new research paper "High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network" and an associated video.
It's about a new ...
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1answer
62 views
In style transfer, why does the comparison between channels give a good sense of style?
I have been learning about Style Transfer recently. Style is defined as
The correlation of activations between channels.
I can't seem to understand why that would be true. Intuitively, style seems ...
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15 views
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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1answer
27 views
Should one rescale (normalize) image before or after data augmentation?
During image preprocessing pipeline, should one rescale each pixel value to [0, 1] by dividing 255 first, and then perform data transformation such as color distortion, gaussian blur? or vice versa?
I ...
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35 views
Why is the F-beta score not increasing while the validation loss fluctuates?
I'm trying to implement a multi-label image classification from a CT scan data set. The goal of the work is to find out which CT scan image has eleven of the most common fractures if it is fractured. ...
2
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1answer
39 views
Viola-Jones algorithm: Haar-like features, how are the features extracted?
If I have an image like this
1 2 3 4 5 6 7 8
a b c d e f g h
...
And I apply a Haar-like feature with a template
...
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26 views
Autoencoder on Sharp Images
I am training an autoencoder to reconstruct 3D images. This is going quite well apart from one slight issue.
The images I wish to reconstruct are binary representations of organs. This means that they ...
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35 views
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:
...
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28 views
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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1answer
58 views
What amount of ressources is involved in building an image recognition system?
I would like to have an order of magnitude of ressources required to build an image recognition system.
Let say you want to build a startup company which main product will have to distinguish 20 ...
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7 views
How can I improve the robustness of my Fire Detection algorithm in openCV?
I am working on a project to detect fire in CCTV or any other surveillance cameras. Up till now I have completed the following stages;
Convert the RGB into HSV
Sliced out the Value matrix from HSV
...
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14 views
Instance Segmentation Using A Semantic Segmentation Map and Class-Wise Bounding Boxes
Is it possible to perform instance segmentation if you have the following:
Binary Segmentation Map
Bounding Boxes (with respective class)
Let's say we're doing something within cellular microscopy ...
2
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1answer
56 views
Is it a good idea to use different width and height of the kernel in a CNN?
I always see that the width and height of the kernel are the same. But is it a good idea to use different numbers?
Recently I tried to use GoogLeNet (which expects images to be 224x224) on my images (...
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37 views
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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32 views
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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1answer
38 views
Denoising Images When Training a Classification Model
Suppose you have a binary outcome variable and have some training data (10,000 images in jpg format). Also you have a test set of say 11,000 images. If we want to train a classification model and want ...
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45 views
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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44 views
Can I use a CNN for template matching, so that there is robustness, as the background of the target image is not that good?
I have to extract part of a source image, then I have to check if it is similar or almost similar to any of the 10 target images, so that I can do further processing on that one specific target image, ...
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12 views
AI generator for imaginary street maps?
Similar to This person does not exist or This artwork does not exist, how might I go about creating a This street map does not exist, including choosing an appropriate AI model and scoping features?
...
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1answer
70 views
What algorithm would you advise me to use for my task?
I have an image and a mask. I want the image to be the same, but rotated, scaled and positioned like mask. What can I use?
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16 views
Interpreting coordinates of the function from the image using Grid Lines
I have a very different kind of problem at hand.
I have a function plotted on the grid lines as shown below
Now, I need to get the x and y coordinates for this particular function at regular ...
2
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1answer
88 views
In OCR, how should I deal with the warped text on the sides of oval objects?
Consider an image that contains one can (or bottle, or any similar oval object), which has texts all over it. In the image below, I have many bottles, but you can assume that each image only contains ...
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37 views
How to edit a photo using deep learning?
I just took a course on deep learning where one part of the syllabus was image classification and object recognition using CNNs, but I wonder how deep learning can be applied to apply certain filters ...
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1answer
35 views
Training a model to identify certain differences between images?
Newbie to CV here so sorry of this is basic. Here's the deal, I have a program that I run many times. and each run I produce a screenshot. I need to compare screenshots from N-1 and N runs and make ...
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18 views
Estimating depth/perspective of image
I'd like to find a method in which the depth or perspective of an image is estimated. I imagine this could perhaps be done based on how quickly classified objects, such as cars or humans, grow or ...
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15 views
Add Additional Positional Information to Image Classification Neural Network
I am trying to find the best way to provide a neural network with both an image and some annotations about the image. Specifically, I'm creating a network to calculate an approximate 'cost' to go from ...
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33 views
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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7 views
How to find rotation x/y/z of chessboard diagram with what network architecture?
I want to recognize pieces of chessboard diagram (not real 3d pieces but just diagram).
I split this task in some operation like rotation/cutting/segmentation.
First of all I want to detect chessboard ...
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1answer
60 views
How to compute dominant colors in an image?
I was trying Google Cloud's Vision API, and how the dominant colors part shows. I uploaded a sample image, and here is the results for the dominant colors. I realized it doesn't simply count pixel ...
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32 views
How does one measure image similarity using Radial Basis Kernel?
Here is the formula of a radial basis kernel
$$
k\left(x_{i}, x_{j}\right)=\exp \left(-\frac{d\left(x_{i}, x_{j}\right)^{2}}{2 l^{2}}\right),
$$
where $x'$ and $x$ are feature vectors.
I have two very ...
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1answer
36 views
Extract Features at Multiple Image-Scales
I try to replicate the results of this paper. They state, that they used VGG16- and VGG19-models pretrained on imagenet and used the output of the last convolutional layer (without relu and max-...
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2answers
98 views
How to verify classification model trained on classification dataset on a detection dataset for classification purpose?
I am working on a problem that involves two tasks - detection and classification. There is no single dataset for both tasks. I am training two models, separate on detection dataset and another on ...
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1answer
67 views
Why do we resize images before using them for object detection?
In object detection, we can resize images by keeping the ratio the same as the original image, which is often known as "letterbox" resize.
My questions are
Why do we need to resize images? ...
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35 views
Extracting specific information from an Invoice images
Tried to extract only specific information from the images but Couldn't, We have to automate this process using this as the format of the Images keeps on changing.
LinkSample data
What I have Tried:
<...
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1answer
109 views
How to mathematically describe the convolution operation (with a Gaussian kernel)?
I have to build a model where I pre-process the data with a Gaussian kernel. The data are an $n\times n$ matrix (i.e one channel), but not an image, thus I can't refer to this matrix as an image and ...
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0answers
11 views
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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8 views
Need some help in understanding a Research paper on Auto Image Colorization
I am having trouble understanding implementation of a research paper. Paper
I need assistance in the 3.6 Final Classification Model on page 3. How exactly should the pixels be discretized into 50 bins?...
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28 views
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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0answers
35 views
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 ...
2
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1answer
46 views
Should I remove the text overlaying some images in the dataset before training the CNN?
If I am attempting to train a CNN on some image data to perform image classification, but some of the images have pieces of text overlaying them (for the purpose of description to humans), then is it ...
2
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1answer
48 views
Research paths/areas for improving the performance of CNNs when faced with limited data
I've been reading through the research literature for image processing, computer vision, and convolutional neural networks. For image classification and object recognition, I know that convolutional ...
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1answer
120 views
Should image augmentation be applied before or after image resizing?
For the purposes of training a Convolutional Neural Network Classifier, should image augmentation be done before or after resizing the training images?
To reduce file size and speed up training time, ...
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0answers
41 views
How to normalise image input to backpropogation algorithm?
I am implementing a simple backpropagation neural network for classifying images. One set of images are cars another set of images are buildings (houses). So far I have used Sobel Edge detector after ...
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0answers
19 views
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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22 views
Object detection using CNN model architectures
I've used LabelImg to create labels for my images using YOLO. After that, I would like to input the images and labels into a CNN model, like a VGG or ResNet. I've searched a lot and have not found ...
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1answer
192 views
What is the state-of-the-art algorithm for neural style transfer?
I've read the paper A Neural Algorithm of Artistic Style by Gatys et. al. and I find the application of neural style transfer very fun.
I also read that Exploring the structure of a real-time, ...
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17 views
About synced and combined, 10 live human dancer's avatar in 3D environment
I have written this post in medium:
Opensource Online group Dancing with Motion capture and …
So I have was working on motion analysis and seen this GitHub page and this video (related paper could be ...
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136 views
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 ...
