AN ARTIFICIAL BEE COLONY BASED OPTIMIZATION FOR IMAGE SEGMENTATION IN MARKOVIAN FRAMEWORK: APPLICATION TO NON DESTRUCTIVE TESTING IMAGES

摘要

Image segmentation is a fundamental task in image analysis process. In this paper, we propose a segmentation model using MRF (Markov Random Fields) and a global optimization method based on ABC (Artificial Bee Colony) algorithm. As a Markovian algorithm,