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Basic bare bones particle swarm optimization (BBPSO) can not get good optimization performance because it easy to get stuck into local optima. Basing on basic BBPSO, using the idear of mutation in differential evolution, a new algorithm named differential evolution bare bones particle swarm optimization (DEBBPSO) is proposed. Combining with image fuzzy entropy, applies DEBBPSO to image segmentation...
Particle swarm optimization (PSO) has recently emerged as a simple yet very efficient algorithm for global optimization over continuous spaces. This article describes the application of an improved variant of PSO to the segmentation of objects from complicated real life images. The segmentation task amounts to finding a robust and optimal threshold that separates an object from a background frame...
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