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I'm currently trying to resample a large geotiff file to a coarser resolution. This file contains classes of tree species (indicated by integer values) at each pixel, so I want to resample each block (...
dtm34's user avatar
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3 votes
2 answers
201 views

I'm trying to understand how scikit-image's local_binary_pattern() function works. Let's take the simplest setup: input is a grayscale image, radius = 1, n_points = 4, method = "uniform". ...
J.D.'s user avatar
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1 answer
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I'm working on a Python script for processing immunohistochemistry microscopy images of microglial cells. The goal is to: Extract the green channel. Apply CLAHE for contrast enhancement. Perform Otsu ...
Beto Santiago's user avatar
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1 answer
33 views

I have the following code (a slightly modified version of this) to create a mosaic from many individual images: import sys import photomosaic as phmos from skimage import io image = io.imread("r....
Kovy Jacob's user avatar
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0 votes
0 answers
86 views

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 ...
zxdawn's user avatar
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2 votes
0 answers
189 views

I am working with 3D microscopy data (e.g., stacks of 2D images) and trying to compute the Structural Similarity Index (SSIM) between two 3D images. The goal is to evaluate the similarity between an ...
FluidMechanics Potential Flows's user avatar
1 vote
0 answers
93 views

I have a render of four identical objects and need to segment the curved surfaces and classify them (associate similar ones with each other). All the objects are positioned at the same angle relative ...
Eva Koroleva's user avatar
0 votes
1 answer
127 views

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 ...
zxdawn's user avatar
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3 votes
1 answer
94 views

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 ...
zxdawn's user avatar
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139 views

I would like to find the locations of some lines in a series of images. The images are exported from GoPro videos, with the camera looking down onto a sloping floor (a beach, so to speak) in a wave ...
Tor's user avatar
  • 803
3 votes
2 answers
166 views

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 ...
static_rtti's user avatar
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0 votes
3 answers
2k views

I'm using a demo on Colab notebook called Deep Exemplar Based Video Colorization. https://colab.research.google.com/drive/1Y1XTlTdUG-2LzrH1Vnr_osg9BQavfYsz?usp=sharing Worked swimmingly for four years ...
Stevie Mack's user avatar
2 votes
1 answer
608 views

I'm trying to parallelize the task of finding minimum cost paths through a raster cost surface, but I keep bumping into the same PicklingError: Could not pickle the task to send it to the workers. ...
Carla S.'s user avatar
0 votes
1 answer
100 views

When using the skimage.io module in python to read an image in grayscale, it works as intended. However, doing anything to the numpy array holding the values which results in them changing to float ...
Max Goodman's user avatar
0 votes
0 answers
101 views

In my analysis code, I am performing some image properties analysis using skimage.measure.regionprops. In order to save processing time, I would like to save the region properties to a file and I was ...
toto's user avatar
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