All Questions
1,590 questions
0
votes
0
answers
63
views
Why doesn’t the barycenter method detect subpixel displacements where correlation does?
I’m working with X-ray imaging data.
I have a reference image containing a structured pattern, and a sample image where this pattern is slightly distorted due to the presence of a physical sample.
My ...
- 113
2
votes
1
answer
158
views
How to simplify the generation process of these boolean images?
I have written code that generates Thue-Morse sequence, its output is a NumPy 2D array containing only 0s and 1s, the height of the array is 2n and the width is n. More specifically, each intermediate ...
- 3,834
0
votes
2
answers
90
views
Channel extraction and interpolation from sparse color image arrays
I have a 'sparse colour' camera (KAI-4070 chip) which gives images with clear, red, green, and blue filtered pixels arranged in a 4x4 grid (kind of a generalized Bayer matrix)
G C R C
C G C R
B C G C
...
- 1
-1
votes
1
answer
74
views
ValueError: axes don't match array when trying to transpose
I'm fetching a frame correctly from webcam:
success, image = self.video.read()
But when I try to change the mode of my frame to grayscale using the following code:
gray_image = cv2.cvtColor(image, ...
- 555
0
votes
0
answers
56
views
How to speed up calibrating denoiser?
I'm trying to calibrate the denoiser like this:
import numpy as np
from skimage.restoration import (
calibrate_denoiser,
denoise_tv_chambolle,
denoise_invariant,
)
# create random noisy ...
- 1,025
1
vote
2
answers
124
views
How can I produce a delta plot between two RGB image with the same pixel size? [closed]
I have two RGB images of representing plot of a scalar variable on some geometry. My goal is to find a way to plot the difference of that variable btween the two images and color it with a custom ...
- 19
-1
votes
1
answer
99
views
How can I make the image centered while padding in python
I am working on image processing. Since the input images have different sizes, I will crop them to a fixed size of 700x700. However, some images are slightly smaller than 700x700, so I want to apply ...
0
votes
1
answer
70
views
How to optimize the weight for TV filter?
I have 2d data which has background noise and assembled high values. I'm trying to apply the TV filter to denoise the data. Is there a suitable method to avoid over-denoising the data?
I have tried to ...
- 1,025
2
votes
1
answer
116
views
How to filter a lot of colors out of an image, the numpy way
I have an image, from which I would like to filter some colors: if a given pixel is in my set of colors, I would like to replace it by a white pixel. With an image called original of shape (height, ...
- 167
3
votes
1
answer
62
views
How to use skimage to denoise 2d array with nan values?
I'm trying to apply the TV filter to 2D array which includes many nan values:
from skimage.restoration import denoise_tv_chambolle
import numpy as np
data_random = np.random.random ([100,100])*100
...
- 1,025
3
votes
3
answers
175
views
What is the most efficient way to randomly pick one positive location within a large binary mask image in Python?
I am writing a custom image data loading function to randomly crop part of a large image according to its binary mask. The function will be used in PyTorch dataloader so I want it to be as fast and ...
- 211
1
vote
2
answers
60
views
Setting RGB value for a numpy array using boolean indexing
I have an array with shape (100, 80, 3) which is an rgb image.
I have a boolean mask with shape (100, 80).
I want each pixel where the mask is True to have value of pix_val = np.array([0.1, 0.2, 0.3])....
- 165
0
votes
0
answers
142
views
Issues with Normal Pass Mapping from EXR Channels to RGB in Python Script
Problem
I'm working on a Python script to generate images from EXR channel data for a larger project that requires accurate normal pass mappings. The script processes the X, Y, and Z channels from an ...
0
votes
0
answers
79
views
Homomorphic filtering for low-light image enhancement
I have to write a image processing project that uses Homomorphic filtering for low-light image enhancement following this paper https://ieeexplore.ieee.org/document/9088214
So basically I have to log, ...
- 53
3
votes
2
answers
146
views
With Python, how to apply vector operations to a neighborhood in an n-D image?
I have a 3D image with vector components (i.e., a mapping from R3 to R3). My goal is to replace each vector with the vector of maximum norm within its 3x3x3 neighborhood.
This task is proving to be ...
- 56.5k