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Image segmentation is considered an important basic task in the analysis and understanding of images. The process of image segmentation involves the partitioning of an image into multiple regions, i.e., each pixel in the image is assigned a label that corresponds to certain visual characteristics. Therefore, image segmentation is widely used for image processing tasks such as classification and object...
In this paper, a density adjustment based Particle swarm optimization algorithm is proposed to solve the problem of premature convergence and global optimal in traditional Particle swarm optimization algorithm. Measure the density of particle swarm by entropy, and update the particle swarm to maintain the swarm diversity, which can also help to improve the ability of global optimization. At the same...
Cloud estimation of distribution particle swarm optimizer combining PSO and cloud model is introduced. In the algorithm's offspring generation scheme, new particles are generated in the cloud estimation of distribution way or in the PSO way. The innovation of the algorithm is production of cloud particles according to the cloud model theory. The cognitive population obtained during optimization is...
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