Retinex | Python implementation of multiscale retinex
kandi X-RAY | Retinex Summary
kandi X-RAY | Retinex Summary
Python implementation of multiscale retinex with color restoration.
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Top functions reviewed by kandi - BETA
- Implementation of automated SSRCR
- Calculate a multi - scale retinex image
- Performs single - scale retinex on an image
- Calculate the MSRCP image
- Calculate the simplest color balance
- Resample an image
- Calculate a color restoration
Retinex Key Features
Retinex Examples and Code Snippets
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QUESTION
I've used the cv::merge()
function at the end of the following code, but it throws an unhandled exception when the compiler reaches to the cv::merge()
function call.
I've tried both cv::Mat[]
array and vector of cv::Mat
as inputs, but it is still throws the C++ exception.
The purpose of the code is to extract the red channel of an underwater image, and apply some new values in order to enhance color distribution according to equation 8 of this reference (Color Correction Based on CFA and Enhancement Based on Retinex With Dense Pixels for Underwater Images).
It only works with cv::merge(planes, 1, image2)
; which returns one page of planes
in image2
. It must merge three planes in planes
into image2
to give a color image not a gray.
ANSWER
Answered 2021-Jan-29 at 10:13Debugging your code, namely inspecting planes
right before the cv::merge
call, reveals that planes[0]
and planes[1]
are of type FLOAT64
, whereas planes[2]
is of type UINT8
. From the documentation on cv::merge
:
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No vulnerabilities reported
Install Retinex
You can use Retinex like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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