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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