thresholding | binarization derives thresholding formula

by gunshi Python Version: Current License: No License

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kandi X-RAY | thresholding Summary

thresholding is a Python library. thresholding has no bugs, it has no vulnerabilities and it has low support. However thresholding build file is not available. You can download it from GitHub.

Nick's binarization derives thresholding formula from the basic Niblack algorithm, the parent of many local image thresholding methods. The major advantage of Nick's method over Niblack is that it considerably improves binarization for "white" and light page images by shifting down the binarization threshold. The method description and comparison with other methods is available at This is the python code for doing said binarisation. translated from MATLAB version:

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thresholding has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

thresholding has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of thresholding is current.

Quality

thresholding has no bugs reported.

Security

thresholding has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

thresholding does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

thresholding releases are not available. You will need to build from source code and install.

thresholding has no build file. You will be need to create the build yourself to build the component from source.

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thresholding Key Features

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thresholding Examples and Code Snippets

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Vulnerabilities

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Install thresholding

You can download it from GitHub.
You can use thresholding 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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