Signal and image processing

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IFPEN provides its internal signal and image processing platform for those who want the most advanced features combined with a simple and understandable user interface.

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Simple interface for advanced and state-of-the-art algorithms from the industrial and academic worlds.

plug im ! algorithm

S. Drouyer et al., Sparse Stereo Disparity Map Densification using Hierarchical Image Segmentation. 13th International Symposium, ISMM 2017, pp.172-184, Mathematical Morphology and Its Applications to Signal and Image Processing

plug im ! simple design is the feedback
from over 7 years usage
by "non experts" of signal and image processing

Visualize in a few simple ways the result of processing operations

plug im ! runs on Windows 10, 8, 7

Windows 10 compatible
Windows 8 compatible
Windows 7 compatible

Create new plugins using your favorite programming language C, C++, C#, java, Fortran... or prototyping software

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Latest modules

Semantic segmentation with deep learning, a comprehensive tutorial

Perform semantic segmentation using deep learning. This module makes a convoluti...

Noise reduction with deep learning, a comprehensive tutorial

Perform drastic noise reduction in your images using deep learning. This module ...

Morphological analysis and feature-based filtering

Compute various features from binary objects. This module provides an image iden...


Workshop: Artificial intelligence and electron microscopy - State of the art and prospects

A workshop on artificial intelligence and its usage with electron microscopy ( h...

plug im! used for the quantitative determination of textile microfibers release.

plug im! has been recently used for the quantitative determination of textile mi...

Mass fractal dimension from 2D microscopy images via an aggregation model with variable compactness

See how aggregation model with variable compactness, available under the plug im...