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- W3129261231 abstract "Image segmentation is one of the most challenging and interesting research topics and draws the attention of the many researchers. Different methods have been proposed but a single method is not sufficient enough to segment a wide variety of images. Due to this reason, continuous research need to be carried out to improve the efficiency and the real life acceptability. In this work, a new image segmentation method is proposed which is based on galactic swarm optimization. Galactic swarm optimization is new metaheuristic method which is based on the movement of stars, galaxies and other objects of space. The proposed method use thresholding with the galactic swarm optimization where, the value of the threshold is to be determined by the metaheuristic algorithm. The optimal threshold value can efficiently segment an image. Experiments shows the efficiency and drawbacks of the proposed method. The advantages and problems of this method is discussed along with the future research directions." @default.
- W3129261231 created "2021-03-01" @default.
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- W3129261231 date "2021-01-01" @default.
- W3129261231 modified "2023-09-27" @default.
- W3129261231 title "Image Segmentation Based on Galactic Swarm Optimization" @default.
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- W3129261231 doi "https://doi.org/10.1007/978-981-15-9433-5_24" @default.
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