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CONAN

CONAN (not related with mythical barabarian character) is a CONtrast ANalyzer. It can be used to quickly analyze the optimal min and max values to visualize a given image. It has optimal usage when your data has some outliers that disturb visualization using minimum and maximum values.

How it works?

It starts using non-parametric statistical analysis in Fourier Domain with crossvalidation to find the optimal bandwidth in a Kernel Density Estimator.

Then it uses mode traces to find the most proeminent modes in estimation and evaluates the minimum and maximum data points for visualization contrast.

How to install?

How to use?

How to cite?

How to contribute?

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An image contrast analyzer made in Python

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