Please use this identifier to cite or link to this item:
https://lib.hpu.edu.vn/handle/123456789/34473
Title: | An Optimizing Multilevel Thresholding for Image Segmentation Based on Hybrid Swarm Computation Optimization |
Authors: | Đào, Thị Kiên Wang, Hong Jiang Yu, Jie Nguyễn, Hữu Quỳnh Ngô, Trường Giang Nguyễn, Trọng Thể |
Keywords: | Cross-entropy thresholding Image segmentation Particle warms |
Issue Date: | 2021 |
Publisher: | Springer |
Abstract: | This paper suggests a solution for the image segmentation(IS) problem with the multilevel thresholding based on one of the latest hybrid swarm computation optimization algorithms, particle swarms, and gravitational search (PSGA). The experimental results are comparable with other state-of-the-art algorithms that show that the PSGA on selected images is better than the competitors. |
URI: | https://lib.hpu.edu.vn/handle/123456789/34473 |
Appears in Collections: | Bài báo khoa học |
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