Artificial bee colony algorithm based research on image segmentation

Le résumé fourni par la source

In order to segment images exactly and quickly, a new method on image segmentation is proposed, which integrates Artificial Bee Colony(ABC)algorithm, gray morphology and two-dimensional Otsu method. In this method, close operation in gray morphology is applied to reduce image noise. Image thresholds are regarded as bees and the fitness function of ABC algorithm is designed by two-dimensional Otsu method. The best threshold is approached in parallel via the division of labor, cooperation and information sharing of employed bees, onlookers and scouts. Experimental results indicate that when the method is applied to infrared image or SAR image, it can provide the consequent analysis and processing with more suited segmented targets.

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