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Questions tagged [image]

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Image deblurring network (not a GAN)?

GANs take a long time to train. I have to train and use a machine learning algorithm (not necessarily a deep learning algorithm) that is able to deblur any image (after training it in about 10 hours: ...
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12 views

thermal images in R

I have a large set of thermal images to process in R. Taken with Infratec IRBIS camera. Is there an R package to import the images directly in R? What are some other ways to get temperature data ...
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1answer
16 views

Training CNN for Regression

Background: I am using CNN to predict forces acting on a circular particle in a granular medium. Based on the magnitude of the forces, particle exhibits different patterns on its surface. The images ...
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10 views

Pre-trained image recognition model to label new instances of retail products

Can you recommend unsupervised image recognition models that can be loaded/ transfered? My task is to provide labels to images of retail products (the N of classes is unknown and potentially huge (~...
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4 views

Measuring object's surface inside an image

Greeting everyone, I'm working on a project on Jupyter Notebook, python 3 , so I have a set of images of products and I'm trying to measure the surface tooken by each product inside the image which ...
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29 views

Optimizing parameters for an image-generation algorithm

I have a program that takes an image and a list of parameters and generates a new image. I would like to automate the selection of parameters to produce the 'best' image. 'Best' in this context doesn'...
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28 views

visualize images inside the Dataframe [closed]

I use python 3.7.3 and I run this code on Jupyter Notebook . I have a column named 'image' in my Dataframe named df that contains Url of images I wanna visualize inside the df. I saw some answers ...
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17 views

Using CNNs for template matching in multi-channel image?

I was wondering if it's possible to train a CNN to recognize similar parts between different images. Here's my problem: let's say I have different images that overlap in part to form a larger image (...
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1answer
110 views

Multichannel numpy array to PIL image

I have a 4 channel Numpy image that needs to be converted to PIL image in order implement torchvision transformations on image. But when I try to do this using ...
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1answer
21 views

Is DQN limited to working with only image frames?

I have few questions about Deep Q Network. Does DQN only accept image frames as input? I have never hear (read) a paperwork where it doesn't use image frames. If the first is a No, then does image ...
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19 views

I am having issues with the output dimensions of my neural network

I am trying to make an image denoiser using a neural network in keras. I have 2 sets of images, un-noised images, and the same images with noise. All the images have the dimensions of (200,200,3). I ...
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1answer
57 views

How to extract global features of images in Python? [closed]

I am working on a problem involving signature verification, but am not understanding how to create a dataset for it. I would like to take some genuine and forged signatures and make them into a ...
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30 views

Why do UNET-like architectures perform better than sliding-window approaches?

I'm writing a thesis that heavily focuses on semantic segmentation of biomedical images. I'm reviewing different segmentation approaches, identifying two main approach branches: A sliding window-...
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22 views

Architecture choice for variable input dimension sizes

So, I am doing this project where I have lets say a bunch of points. Each of those points can have a different number of RGB values. So lets say point 1 might have 30 RGB values, point 2 might have ...
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66 views

Algorithms for change detection in images

I'm wondering why people use complex CNNs like in Unsupervised Change Detection in Satellite Images Using Convolutional Neural Networks in order to find the ...
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8 views

Replace the object detected in image with white block using Computer Vision?

How to rebuild the image in such away to find the position of object in the image and replace it with white block? Thanks, Swati
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2answers
23 views

Classifying whether a chess board square contains a piece or not?

I have an image of a chessboard which I segment into its constituent 64 squares. I want to construct a binary classifier which can detect which square contains a piece or not. I know how to do this ...
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20 views

Image mapping using a deep learning network while images have additional input parameter

I'm using a UNet to perform image mapping using medical images. Basically, I have a training set that contains original images and target images. However, the images have another parameter: angle. ...
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124 views

Implementation of Bhattacharyya distance for filtering images that are far off from their cluster

I need assistance with the python implementation of Bhattacharyya-distance for the below use case: Here, the polygons P1, P2..Pn refer to the different images where each pixel is represented by 'n' ...
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0answers
23 views

Pre trained neural networks to recognize certain things

How do you approach the problem or is not classification? For example, I would like to recognize if a face has makeup. But, in order to do this, it would first need to be able to recognize if it is a ...
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28 views

fast fourier transformation on images — python

I did Fast Fourier Transform on lena image and I would like to extract real and imaginary parts of its spectrum. This is my code: ...
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22 views

U-Net shows different results everytime

I have trained U-Net for image segmentation task. I have stored weights in a file. Every time I run the model with the same weights on the same test images, U-Net shows different results. Is it okay ...
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1answer
422 views

How to measure the similarity between two images?

I have two group images for cat and dog. And each group contain 2000 images for cat and dog respectively. My goal is try to cluster the images by using k-means. Assume image1 is ...
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0answers
13 views

Metrics for stain normalization

Are there any metrics or methods for assessing stain normalization techniques?
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3answers
83 views

Image Classification on non real images

I was wondering how image classifier networks perform on images that are not photographs. For example if you were to feed a drawing of a car or a face to an image classifier that was only trained on ...
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1answer
43 views

inner workings of Mobile-net resolution multiplier - what does it do?

i have a question concerning the way Mobile Net's resolution parameter works. From the article itself and from the blog posts on the topic (1, 2) I wasn't able to find an answer to my question. It is ...
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1answer
513 views

How can I plot/display a dataset or an image distribution?

I want to view a specific image or a dataset's distribution, and see if they are different. Does simply writing something like : ...