MATLAB version plus C++ YACCLAB-compliant implementation of CCL (paper “Parallel Connected-Component-Labeling based on Homotopical Trees")
Updated 16 Jun 2019

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This ZIP file contains a MATLAB version (see readme.doc) and a C++ YACCLAB-compliant ( 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:
Questions about the implementation must be addressed to (F. Diaz-del-Rio).

Cite As

Fernando Diaz-del-Rio (2024). 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

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


added a MATLAB version (see readme.doc)