Can't transform image into polar. Python, OpenCV

Question

I'm trying to implement ring artefact reduction algorithm using python. The first step is to transform image from cartesian to polar. I suppose that I can use opencv to do that. In this topic fast Cartesian to Polar to Cartesian in Python author managed to use LinearPolar function but it doesn't work on my computer.

I tried the following way:

import cv
import cv2
img = cv2.imread('artifact.png', 0)
img1 = cv2.imread('artifact.png', 0) 
cv.LinearPolar(cv.fromarray(img),cv.fromarray(img1),(130,110), 1 ,cv.CV_WARP_FILL_OUTLIERS)

But it returned an error : AttributeError: 'module' object has no attribute 'LinearPolar'

So is there any way to use this function?

Thanks

Jeru Luke · Accepted Answer · 2021-09-18 17:12:12Z

2

The function is cv2.linearPolar - it's objecting to the capitalization.

edited Sep 18, 2021 at 17:12

Jeru Luke

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answered Dec 19, 2017 at 22:55

mcduffee

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Comments

Jeru Luke · Accepted Answer · 2018-08-04 11:08:51Z

2

In the recently updated versions you do not need to pass the output array to the function. The output can be assigned to a variable:

result = cv2.linearPolar(image, (50, 50), 1.0, cv2.WARP_FILL_OUTLIERS)

answered Aug 4, 2018 at 11:08

Jeru Luke

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Comments

Geovane Wickert · Accepted Answer · 2016-07-08 16:45:59Z

0

Did you try using cv2.LinearPolar ?

https://fossies.org/dox/opencv-3.1.0/logpolar_8py_source.html

answered Jul 8, 2016 at 16:45

Geovane Wickert

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1 Comment

ivan Over a year ago

I tried, but it also returned: 'module' object has no attribute 'LinearPolar'.

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