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labeling_HT_CCL

Version 1.2.0 (48.7 KB) by Fernando Diaz-del-Rio
MATLAB version plus C++ YACCLAB-compliant implementation of CCL (paper “Parallel Connected-Component-Labeling based on Homotopical Trees")
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Updated 16 Jun 2019

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This ZIP file contains a MATLAB version (see readme.doc) and a C++ YACCLAB-compliant (https://github.com/prittt/YACCLAB) implementation of the CCL (Connected Components Labeling of a binary digital image) according to the paper entitled “Parallel Connected-Component-Labeling based on Homotopical Trees” by Fernando Diaz-del-Rio, Pablo Sanchez-Cuevas (Department of Computer Architecture and Technology. University of Seville. Spain.), Helena Molina-Abril, Pedro Real (Department of Applied Mathematics I. University of Seville. Spain.).
This paper was submitted to the Journal “Pattern Recognition Letters” (journal homepage: www.elsevier.com).
Questions about the implementation must be addressed to fdiaz@us.es (F. Diaz-del-Rio).

Cite As

Fernando Diaz-del-Rio (2023). labeling_HT_CCL (https://www.mathworks.com/matlabcentral/fileexchange/71597-labeling_ht_ccl), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2019a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.2.0

Fixed a bug in init_borders() when running 3,5 or 7 threads
1.1.0

added a MATLAB version (see readme.doc)
1.0.0