Questions tagged [image-processing]

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

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163 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 ...
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1answer
75 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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1answer
35 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, ...
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1answer
25 views

How to create vector representation of roadmap like scans

What would be the best way to create a vector representation of roadmap like scans? The goal I am trying to achieve is illustrated below. The left side represents the source image, the right side the ...
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2answers
92 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 ...
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1answer
176 views

Image dataset for pomegranate plant disease

I am implementing a project on pomegranate plant disease in Machine learning. I want a dataset of all kind images of a healthy and unhealthy part of the pomegranate plant. I got a dataset from ...
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1answer
8k views

How to Mask an image using Numpy/OpenCV? [closed]

I am detecting wheels with a deep learning algorithm. The algorithm gives me the coordinates of those rectangles. I want to keep data that is in the rectangles of the image. I created rectangles as a ...
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0answers
9 views

Why do we add +1 in while calculating ouput tensor value after convolution operation?

In the formula to calculate output shape of tensor after convolution operation $$ W_2 = (W_1-F+2P)/S + 1\ $$ Where: $W_2$ is output shape of tensor $W_1$ is input shape $F$ filter size $P$ is padding ...
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0answers
25 views

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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0answers
25 views

Understanding SIFT descriptor calculation

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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0answers
30 views

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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0answers
38 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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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 ...
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0answers
33 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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0answers
34 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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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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0answers
33 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
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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0answers
153 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 ...
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0answers
53 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 ...
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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 ...
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0answers
36 views

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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0answers
20 views

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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0answers
24 views

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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0answers
25 views

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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0answers
29 views

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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29 views

How to use Before / After images to train a model

I am trying to create a model that can clean pictures of noise, blur, high luminosity etc, but I do not know how to do that. I have tried to search for it a lot, and I couldn't find anything that ...
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0answers
23 views

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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0answers
80 views

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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0answers
316 views

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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0answers
34 views

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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0answers
22 views

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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0answers
39 views

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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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 ...
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0answers
16 views

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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0answers
33 views

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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0answers
65 views

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#), ...
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1answer
59 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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1answer
123 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 (...
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1answer
287 views

How can I detect moving objects in a video by OpenCV without using deep learning techniques?

I want to detect moving objects in a surveillance video without using machine learning tools (like neural networks). Is there a simple way in the OpenCV library? What is an efficient solution for this ...
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1answer
20 views

Material(s) for understanding “image channels”

I am pretty confused about the concept of "image channels". I want material that explains the concept of channels from scratch to whatever is required to understand their role in machine ...
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1answer
16 views

Dissection of a depth map

I am curious about how depth maps work. While searching I came across this website which contains some images and their depth maps. I took this depth map and tried to study it using python pillow. <...
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1answer
164 views

How does the math behind heat map filters work?

I am working on an app that generates heat/ thermal map given a picture. i have been able to get what i expected using python opencv builtin function ...
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0answers
8 views

How to approach receipt interpretation with neural networks

I have never worked with neural networks before, but I want to learn and I have a specific use case that I would want to solve (or at least try to). I have developed software for multiple years, in a ...
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0answers
19 views

What image augmentations can help a neural network identify the smallest pixels within an image?

I am training a CNN to identify objects and I believe the network will learn much faster if it can learn to focus on the smallest pixels. One way to go about this would be to augment the images before ...
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0answers
15 views

Bounding box transformation using point cloud

I am working on a project in which I have an RGB Image and the corresponding 2d bounding boxes for the objects in the image. I also have a respective point cloud and therefore, I can extract the depth ...
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1answer
61 views

Feeding CNN FFT of an image, a dumb idea?

My dataset consists of about 40,000 200x200px grayscale images of centered blobs bathed in noise and occasional artifacts like stripes other blobs of different shapes and sizes, fuzzy speckles and so ...
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0answers
19 views

What is “fill” algorithm used for image resizing and cropping?

I was going through this documentation directed by Codelab-Developer-Google. In order to resize an image, the notebook is using the "fill" algorithm. See the below code ...
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0answers
13 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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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. ...