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IMAGE-PROCESSING QUESTIONS

Why can fourier transform be used for image recognization while being sensitive to noises?
Why can fourier transform be used for image recognization while being sensitive to noises?
like below fixes the issue Update to actually answer the question you asked... :) Pre-process the image with a non-linear filter to suppress the salt pepper noise. Median filter maybe?Basic lesson on FFTs on matched filters follows...
TAG : image-processing
Date : November 22 2020, 07:01 PM , By : futguy11
uneven illuminated images
uneven illuminated images
I hope this helps . Strictly speaking, assuming you have access to the image's pixels (you can search online for how to accomplish this in your programming language as the topic is abundantly available), the exercise involves going over the pixels on
TAG : image-processing
Date : November 05 2020, 07:01 PM , By : Nirjara Acharya
Noise Estimation / Noise Measurement in Image
Noise Estimation / Noise Measurement in Image
should help you out You can use the following method to estimate the noise variance (this implementation works for grayscale images only):
TAG : image-processing
Date : October 30 2020, 08:01 PM , By : user3854831
Does Deep learning requires image registration?
Does Deep learning requires image registration?
I wish did fix the issue. Generally deep learning approaches for image data is done using convolutional neural networks (CNNs) which are at least shift invariant. By using image pyramids or specially constructed neural network layouts, they can also
TAG : image-processing
Date : October 12 2020, 10:00 AM , By : Nitro Hacker
Multilabel image classification using Keras for 3 classes return only one value instead of 1 X 3 array
Multilabel image classification using Keras for 3 classes return only one value instead of 1 X 3 array
wish help you to fix your issue If you have N labels, then the last layer (i.e. the sigmoid classifier layer) must also have N neurons, one for each of the classes:
TAG : image-processing
Date : October 08 2020, 11:00 AM , By : EugeneTX
What is pixel-wise softmax loss?
What is pixel-wise softmax loss?
this one helps. You can read here all about it (there's also a link to source code there).As you already observed the "softmax loss" is basically a cross entropy loss which computation combines the softmax function and the loss for numerical stabilit
TAG : image-processing
Date : October 07 2020, 09:00 AM , By : Tony
How to tune Local Binary Pattern?
How to tune Local Binary Pattern?
may help you . You should probably use a CNN directly for this task, but in general, for any learning task, you should use cross-validation to estimate task performance. scikit-learn has excellent documentation on model selection, cross-validation, a
TAG : image-processing
Date : October 01 2020, 10:00 PM , By : Chris
How can I detect the corner from 2D point cloud or Lidar scanned data?
How can I detect the corner from 2D point cloud or Lidar scanned data?
may help you . Treat this answer as a "work in progress". Anyone else is welcome to take, use, develop and improve any aspect of it.I am using ImageMagick in the Terminal, just for speed, but the same techniques are available in OpenCV and scikit-ima
TAG : image-processing
Date : September 25 2020, 08:00 PM , By : Jadyn Ash
Is there a way to find mm per pixel value for a camera?
Is there a way to find mm per pixel value for a camera?
To fix this issue I believe what you are doing really borderline. First of all, to be as precise as possible I would use the right (or left) edge of the most left and most right ruler ticks like I sketched here:and then use this value in pixel to cal
TAG : image-processing
Date : September 24 2020, 07:00 PM , By : Tomasz Zdyb
Is pixel value normalization needed in medical image segmentation?
Is pixel value normalization needed in medical image segmentation?
seems to work fine It depends a little on your data. What you are describing are so called Hounsfield Units (probably read up on that), you basically express every intensity relative to the one of water. Bone density (and with that the corresponding
TAG : image-processing
Date : September 24 2020, 06:00 AM , By : yeswell
Creating 3D geometry - CAD software
Creating 3D geometry - CAD software
like below fixes the issue Take centerline data points and apply smoothing to remove any wavyness Fit cubic splines about the data Relax the cubic splines by smoothing the 2nd derivatives Import the splines curves into CAD Extrude/Sweep the desired p
TAG : image-processing
Date : September 19 2020, 04:00 PM , By : george
Problem in understanding how colors are applied to each pixel
Problem in understanding how colors are applied to each pixel
seems to work fine In this concept there is a subtle relationship between time and pixel positions.As far as I know: This kind of heatmap is for involving Time in your image. The purpose is to show the movement of a moving object which is captured by
TAG : image-processing
Date : September 16 2020, 04:00 AM , By : DonghwanKim
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