Questions tagged [image-processing]
For questions related to image processing (in the context of AI).
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16 views
Best way to extract varied size rectangle from video
I am trying to apply a CNN model for each video frame, except that my input videos are video calls, which contain many windows like this example and model is trained on a single person's call.
So, ...
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0answers
20 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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9 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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30 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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30 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 ...
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1answer
29 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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0answers
51 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 ...
2
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2answers
128 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 ...
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1answer
76 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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0answers
50 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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45 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 ...
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16 views
Identifying and Labeling multiple letters in image
While I attempt to learn AI/ML I have taken on the task to create a Boggle solver. The idea is that a system could take an image of a Boggle arrangement of letters and identify the letters (and the ...
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28 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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14 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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1answer
39 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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1answer
24 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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1answer
49 views
How to evaluate the performance of an autoencoder trained on image data?
I am training an autoencoder on (general) image data.
I use binary crossentropy loss function, but it is not very informative when I want to evaluate the performance of my autoencoder.
An obvious ...
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1answer
54 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.
...
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1answer
33 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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44 views
Do Multi-resolution CNN exist?
I am currently working on a problem for which the topographic data is in very different resolution. Let say I have data of 20x20 with 1km2 tiles and also high resolution data of 50m2 tiles. I would ...
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0answers
31 views
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 ...
3
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1answer
41 views
Can neural network help me with detecting center coordinates of particles in an image?
I have an image of some nano particles that was taken with Scanning Electron Microscope (SEM) attached here. I want to obtain center points coordinates (x,y) for each particle. Doing it by hand is ...
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1answer
68 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 ...
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28 views
PCA + LDA feature extraction
I am trying to reduce the size of my features vectors using PCA and LDA. Following the approach presented here, I cannot understand step 3 and step 4 described in that approach. Why is the ...
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0answers
31 views
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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1answer
65 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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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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2answers
65 views
Should I apply image processing techniques to the inputs of convolution networks?
After working for some time with feature-based pattern recognition, I am switching to CNN to see if I can get a higher recognition rate.
In my feature-based algorithm, I do some image processing on ...
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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 ...
3
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1answer
72 views
How can I generate unique random patterns (similar to the ones in Nutella jars)?
How can I generate unique patterns, as they did for these Nutella jars? See, for example, the video Algorithm designs seven million different jars of Nutella.
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0answers
28 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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0answers
28 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 ...
2
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1answer
47 views
How many ways are there to perform image segmentation?
I'm new in Artificial Intelligence and I want to do image segmentation.
Searching I have found these ways
Digital image processing (I have read it in this book: Digital Image Processing, 4th edition)...
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0answers
22 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 ...
4
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1answer
68 views
Autoencoder produces repeated artifacts after convergence
As experiment, I have tried using an autoencoder to encode height data from the alps, however the decoded image is very pixellated after training for several hours as show in the image below. This ...
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0answers
55 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
53 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
23 views
Human identification using gait analysis
I am working on a human identification by gait analysis project. So far, I have managed to extract the Gait Energy Image(GEI) of a silhouette. I am stuck on finding a way to move forward with my ...
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0answers
31 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?
3
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1answer
43 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 ...
4
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3answers
479 views
Convolutional Neural Network: does each filter in each convolution layer create a new image?
Say I have a CNN with this structure:
input = 1 image (say, 30x30 RGB pixels)
first convolution layer = 10 5x5 convolution filters
second convolution layer = 5 3x3 convolution filters
one dense layer ...
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0answers
17 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 ...
2
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1answer
129 views
Can I shuffle image channel data as a form of data augmentation?
If I want to augment my dataset, is shuffling or permuting the channels (RGB) of an image a sensible augmentation for training a CNN? IIRC, the way convolutions work is that a kernel operates over ...
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1answer
121 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 ...
8
votes
1answer
434 views
Deep learning for bitmap tracing: extract simple svg paths from bitmaps
I need an algorithm to trace simple bitmaps which only contain paths with a given stroke width.
It is obviously very easy to generate bitmaps from vector paths, so creating data for a machine ...
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0answers
29 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.
3
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1answer
49 views
How to calculate the size of a 3d object from an image?
I am wondering how to calculate the size of a 3d object in an image without knowing the focal length of the camera but the distance from the camera to the object.
3
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2answers
205 views
How can I measure an object using Computer Vision and neural network techniques?
I am studying about Computer Vision around 2-3 months long. Recently, I have an idea to conduct a research about computer vision and Artificial neural networks. The idea is I want to make an automatic ...
2
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0answers
24 views
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 ...
2
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1answer
180 views
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
...
