Questions tagged [image-processing]
For questions related to image processing (in the context of AI).
108
questions
2
votes
1answer
37 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
25 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
34 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:
...
1
vote
0answers
26 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 ...
0
votes
1answer
56 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
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
0answers
12 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
46 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 (...
3
votes
0answers
36 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
29 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?
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 ...
3
votes
0answers
39 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
42 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
11 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
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?
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
1answer
74 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
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
1answer
26 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 ...
0
votes
0answers
17 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
14 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
32 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
6 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
44 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 ...
0
votes
0answers
31 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 ...
0
votes
1answer
35 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-...
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 ...
1
vote
1answer
54 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? ...
0
votes
0answers
28 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
1answer
101 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
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
0answers
26 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 ...
3
votes
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
votes
1answer
44 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
votes
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 ...
0
votes
1answer
88 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, ...
0
votes
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 ...
1
vote
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 ...
0
votes
0answers
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 ...
0
votes
1answer
152 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
15 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 ...
0
votes
0answers
102 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 ...
0
votes
0answers
31 views
Is there a developed model for image classification of photo or not photo?
I'm curious if there is current research or a common classification model for determining whether an image is a photo (as in taken with a camera) or something else (such as a vector, screenshot, or ...
1
vote
1answer
32 views
How to manually collect rectangular training data samples from images?
I want to collect training samples from images.
That can mean different things depending on the context. I think of the simplest case, which should be most commonly required. Because it is so common, ...
1
vote
0answers
52 views
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 ...
4
votes
2answers
673 views
What are the main algorithms used in computer vision?
Nowadays, CV has really achieved great performance in many different areas. However, it is not clear what a CV algorithm is.
What are some examples of CV algorithms that are commonly used nowadays and ...
0
votes
1answer
104 views
What is a convolutional neural network?
Given that this question has not yet been asked on this site, although similar questions have already been asked in the past (e.g. here or here), what is essentially a convolutional neural network (...
1
vote
0answers
56 views
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 ...
0
votes
0answers
50 views
How to detect forgery on scanned document images?
I am trying to detect forgeries done after a document is scanned by a scanner.
I already tried to access the metadata, and, if it is edited with any software after scanning, then it is easily detected ...
