TY - JOUR ID - TI - Parallel Genetic Algorithm for Color Image Segmentation AU - Ahmed K. Obaed PY - 2007 VL - 14 IS - 1 SP - 10 EP - 14 JO - Journal of University of Babylon مجلة جامعة بابل SN - 19920652 23128135 AB - This paper presents a Parallel Genetic Algorithm (PGA) based on the distributed (island) paradigm to optimize color image segmentation. The goal of using PGA is to accelerate the process of segmentation. However, that is not the only motivation for parallelism. Even when speed is not primary factor, these distributed algorithms, and as we shall see through the results, often outperform GAs with single population. Some examples in color images are presented and overall results discussed.

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