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- W2922778963 abstract "Under the background of image segmentation, the basic bacterial foraging algorithm(BFA) is analyzed intensively and improved in this paper. The fixed step size of chemotactic operator of traditional BFA is replaced by dynamic step size, and the fixed migration probability of its migration operator is replaced by dynamic migration probability. According to particle swarm optimization(PSO) strategy, the motion direction of bacteria is controlled and the global optimal search is delayed by the random selection of the motion direction of bacteria. The simulation analysis proves that when the improved algorithm is applied to the image segmentation, whether it is the segmentation unpreprocessed or the preprocessed image, the step size will be larger. All of them can find the optimal solution quickly and steadily which achieve better segmentation results." @default.
- W2922778963 created "2019-04-01" @default.
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- W2922778963 date "2019-01-01" @default.
- W2922778963 modified "2023-09-22" @default.
- W2922778963 title "An Improved Bacterial Foraging Strategy for Image Segmentation" @default.
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- W2922778963 doi "https://doi.org/10.1109/icitbs.2019.00136" @default.
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