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SparseEdges: A bio-inspired sparse representation of edges in natural images.

Project Description
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What is the SparseEdges package?

Our goal here is to build practical algorithms of sparse coding for computer vision.

This class exploits the [SLIP]( and [LogGabor]( libraries to provide with a sparse representation of edges in images.

This algorithm was presented in the following paper:

author = {Perrinet, Laurent U.},
booktitle = {Biologically-inspired Computer Vision},
chapter = {13},
citeulike-article-id = {13566753},
editor = {Keil, Matthias and Crist\'{o}bal, Gabriel and Perrinet, Laurent U.},
keywords = {anr-trax, bicv-sparse},
posted-at = {2015-03-31 14:21:35},
priority = {2},
publisher = {Wiley, New-York},
title = {Sparse models},
year = {2015}

This package gives a python implementation.

Moreover, it gives additional tools to compute useful stistics in images; first- and second order statistics of co-occurences in images.
More information is available @
Tests for the packages are available @
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SparseEdges-0.3.1.tar.gz (27.6 kB) Copy SHA256 Checksum SHA256 Source Sep 1, 2016

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