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Segmentation of the Fabric Pattern Based on Improved Fruit Fly Optimization Algorithm
Joint Authors
Ding, Gang
Pei, Xiaoyuan
Yang, Yang
Huang, Boxiang
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-18
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
In order to improve the segmentation performance of the printed fabric pattern, a segmentation criterion based on the 3D maximum entropy which is optimized by an improved fruit fly optimization algorithm is designed.
The triple is composed of the gray value of the pixel, the average gray values of the diagonal, and the nondiagonal pixels in the neighbourhood.
According to the joint probability of the triple, the 3D entropy of the object and the background areas could be designed.
The optimal segmentation threshold is resolved by maximizing the 3D entropy.
A hybrid fruit fly optimization algorithm is designed to optimize the 3D entropy function.
Chaos search is used to enhance the ergodicity of the fruit fly search, and the crowding degree is introduced to enhance the global searching ability.
Experiment results show that the segmentation method based on maximizing the 3D entropy could improve the segmentation performance of the printed fabric pattern and the pattern information could be reserved well.
The improved fruit fly algorithm has a higher optimization efficiency, and the optimization time could be reduced to 30 percent of the original algorithm.
American Psychological Association (APA)
Ding, Gang& Pei, Xiaoyuan& Yang, Yang& Huang, Boxiang. 2020. Segmentation of the Fabric Pattern Based on Improved Fruit Fly Optimization Algorithm. Discrete Dynamics in Nature and Society،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1153653
Modern Language Association (MLA)
Ding, Gang…[et al.]. Segmentation of the Fabric Pattern Based on Improved Fruit Fly Optimization Algorithm. Discrete Dynamics in Nature and Society No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1153653
American Medical Association (AMA)
Ding, Gang& Pei, Xiaoyuan& Yang, Yang& Huang, Boxiang. Segmentation of the Fabric Pattern Based on Improved Fruit Fly Optimization Algorithm. Discrete Dynamics in Nature and Society. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1153653
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1153653