Benchmarking : Smil vs scikit-image

Morphological Image Libraries
1. Home
Introduction
Site overview
About
2. Benchmarking
Comparing Libraries
Benchmark : what and how to
Functions equivalence
Test images
About Segmentation
Test platforms
3. Summary
Image size - taurus
Image size - nestor
StrElt size - taurus
StrElt size - nestor
Elapsed times
4a. Results - taurus
Binary images
Gray level images
Resources usage
4b. Results - nestor
Binary images
Gray level images
Resources usage
5. Conclusion
Discussion
Conclusion
Bibliography and links

Bibliography


Links

  1. Centre de Morphologie Mathematique CMM - Mines Paris - PSL

  2. Smil - library web site (and documentation)

  3. Scikit Image - library web site (and documentation)

  4. Smil Quick Reference - a quick reference/overview of Smil functions.

  5. The OpenMP API specification for parallel programming

  6. Repository of benchmarking scripts at github

  7. Wikipedia - Computational complexity

Books and papers

  1. J. Serra. Image Analysis and Mathematical Morphology - Volume 1. Academic Press, 1982.

  2. P. Soille. Morphological Image Analysis: Principles and Applications. Springer-Verlag, Berlin, Heidelberg, 2 edition, 2003.

  3. K. Wu, E. Otoo and A. Shoshani, “Optimizing connected component labeling algorithms”, 2005, Lawrence Berkeley National Laboratory (University of California)