Seeking multi-thresholds for image segmentation with Learning Automata

28 May 2014Erik CuevasDaniel ZaldivarMarco Perez

This paper explores the use of the Learning Automata (LA) algorithm to compute threshold selection for image segmentation as it is a critical preprocessing step for image analysis, pattern recognition and computer vision. LA is a heuristic method which is able to solve complex optimization problems with interesting results in parameter estimation... (read more)

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