People who code: we want your input. Take the Survey

Questions tagged [image-processing]

For questions related to image processing (in the context of AI).

Filter by
Sorted by
Tagged with
0
votes
0answers
4 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 ...
0
votes
0answers
3 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 ...
2
votes
2answers
70 views

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 ...
0
votes
0answers
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 ...
2
votes
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 ...
2
votes
0answers
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 ...
0
votes
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 ...
2
votes
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 ...
0
votes
1answer
90 views

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 ...
0
votes
0answers
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. ...
0
votes
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-...
2
votes
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 ...
0
votes
0answers
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 ...
1
vote
0answers
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 ...
1
vote
0answers
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: ...
0
votes
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 ...
0
votes
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 ...
0
votes
1answer
193 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, ...
0
votes
0answers
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 ...
0
votes
1answer
299 views

Artifacts After pruning Unet CNN

I'm trying to make a dark image brighter using CNN-UNet architecture. When I train the network, I get the following results: When I cut the features in half for pruning, and do full train again, I ...
0
votes
0answers
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
votes
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 (...
1
vote
1answer
155 views

How can I make the kernels non-learnable and set them manually?

I'm a newbie in Convolutional Neural Networks. I have found out that kernels in convolutional layers are usually learned while training. Suppose I have a kernel that is very good to extract the ...
3
votes
0answers
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 ...
1
vote
0answers
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?
3
votes
0answers
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-...
0
votes
0answers
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, ...
0
votes
0answers
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? ...
2
votes
1answer
68 views

What does the Fourier transformed image mean?

I have been trying to figure out what the Fourier transformed image represents. I am aware of Fourier transformation in general, but I can't explain myself the image it forms after transformation. ...
2
votes
1answer
53 views

What are some references that describe known filters (or kernels) and how we can create new ones?

I'm pursuing a master's degree in Artificial Intelligence. My final work is about Convolutional Neural Networks. I was looking for information about filters (or kernels) of the convolutional layers. I ...
2
votes
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?
2
votes
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 ...
0
votes
0answers
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
votes
2answers
327 views

How do I determine whether a truck is inside its lane?

I have a bunch of images from different trucks passing the road. Here is an example. The truck needs to be at a certain distance from the border of the lane. Some of the trucks are way close to the ...
0
votes
0answers
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 ...
0
votes
0answers
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 ...
0
votes
0answers
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 ...
1
vote
0answers
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 ...
0
votes
0answers
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 ...
1
vote
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 ...
1
vote
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 ...
0
votes
0answers
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 ...
1
vote
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? ...
1
vote
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 ...
1
vote
0answers
82 views

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 ...
0
votes
0answers
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: <...
1
vote
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,...
0
votes
0answers
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?...
1
vote
2answers
87 views

How fast are autoencoders?

I was exploring image/video compression using Machine Learning. In there I discovered that autoencoders are used very frequently for this sort of thing. So I wanted to enquire:- How fast are ...
2
votes
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 ...