PINK Image Processing Library

About

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PINK is an image processing library originally developed at ESIEE Engineering for research and teaching purposes. It contains implementations of over 200 algorithms for image segmentation and filtering. Most of the operators come from mathematical morphology, but it contains operators from different fields. It is a free software licensed under the CeCILL license.

We are interested in the continuous development of Pink. It has already been proven useful in many applications and we are constantly looking for new ones.

We are using the rolling distributed development model. It is rolling because we only support the latest version and it is distributed as everyone is welcomed to become a developer. If You are interested in deploying Pink please take a look at the Support page.

For those who, would like to get started with image processing, there is an extensive set of tutorials on the Tutorials page. There are both easy and advanced exercises, which have been collected to teach image processing and showcase the capabilities of PINK.

Features

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PINK contains more than 200 image processing operators in a single package. Some of the operators a unique to PINK and there is no other implementation of them in any other library. For some of the operators PINK contains the only free implementation available. We have put lots of effort into making PINK easy to use and deploy. Main features include:

Image Processing

Single shared library

The core PINK is compiled into a single shared library (.so or .dll). Therefore You can apply it simply in many projects; embedded, desktop or server alike.

Python front-end

PINK has a dedicated Python front-end. The operators can be used in Python scrips and can interact with other libraries (such as PIL or PythonTK) using Python. Planned features include a Boost.Graphs wrapper as well as NumPy and SciPy.

Bash front-end

Every operator has a dedicated executable. This facilitates testing debugging and simple deployment existing frameworks or environments.

Visualization

We have an advanced built-in 2D visualizer imview and simple 3D visualizer using Tk/PIL. There are also functions which can call PINK operators interactively.