[Python-announce] Benchmark Smil vs Scikit-image (morphological features)

[Jose-Marcio Martins da Cruz]

Hello,

We've done a comparative benchmark (speed and memory usage) with Smil and Scikit-Image.

Smil is a mathematical morphology dedicated library of functions. So comparisons are done only on this area.

We've been working on Mathematical Morphology for more than 50 years now the discipline was created here at our research 
department in the sixties. Smil inherits the experience of previous libraries and software we've been writing since the 
70's.

In just some few words, Smil can be orders of magnitude faster than Scikit-image (hundreds or even thousands) on some 
operations thanks to parallelization and vectorization (SIMD), depending on the computer architecture.

Smil doesn't replace scikit-image but may be a good complement to scikit-image when speed is important.

Benchmark results are available at :
	https://smil.cmm.minesparis.psl.eu/smil-vs-skimage

Comments are welcome,

Best regards

José-Marcio



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  Jose Marcio MARTINS DA CRUZ, Ph.D.
  Ecole des Mines de Paris
  Centre de Morphologie Mathématique
  https://orcid.org/0000-0002-2981-7028
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   Mon livre sur le spam : http://amzn.to/LEscRu
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