Adaptive Image Enhancement based on Gravitational Search Algorithm

被引：13
|
作者：
Zhao, Weiguo [1 ]
机构：
[1] Hebei Univ Engn, Handan 056038, Peoples R China
来源：
CEIS 2011 | 2011年 / 15卷
关键词：
Gravitational Search Algorithm; image enhancement; grey image;
D O I：
10.1016/j.proeng.2011.08.617
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To improve the adaptability and effect of image enhancement, this paper has proposed an image enhancement method based on Gravitational Search Algorithm (GSA), which is used for optimizing the parameters of the normalized incomplete Beta function using the characteristics of the original image, the acquired function is employed to enhance the degraded image. The simulation results show the method can effectively enhance the global contrast of the image and vision. So this method is practical in the field of gray level image adaptive enhancement. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]
引用
收藏
页数：5
相关论文
共 50 条
  • [1] An adaptive gravitational search algorithm for multilevel image thresholding
    Yi Wang
    Zhiping Tan
    Yeh-Cheng Chen
    [J]. The Journal of Supercomputing, 2021, 77 : 10590 - 10607
  • [2] An adaptive gravitational search algorithm for multilevel image thresholding
    Wang, Yi
    Tan, Zhiping
    Chen, Yeh-Cheng
    [J]. JOURNAL OF SUPERCOMPUTING, 2021, 77 (09): : 10590 - 10607
  • [3] Improved Gravitational Search Algorithm Based on Adaptive Strategies
    Yang, Zhonghua
    Cai, Yuanli
    Li, Ge
    [J]. ENTROPY, 2022, 24 (12)
  • [4] Assembly sequence planning based on adaptive gravitational search algorithm
    Gao, Bo
    Zhang, Shichao
    Sun, Hao
    Ma, Chengwu
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 115 (11-12): : 3689 - 3700
  • [5] Gravitational search algorithm based on multiple adaptive constraint strategy
    Jingsen Liu
    Yuhao Xing
    Yixiang Ma
    Yu Li
    [J]. Computing, 2020, 102 : 2117 - 2157
  • [6] Assembly sequence planning based on adaptive gravitational search algorithm
    Bo Gao
    Shichao Zhang
    Hao Sun
    Chengwu Ma
    [J]. The International Journal of Advanced Manufacturing Technology, 2021, 115 : 3689 - 3700
  • [7] Gravitational search algorithm based on multiple adaptive constraint strategy
    Liu, Jingsen
    Xing, Yuhao
    Ma, Yixiang
    Li, Yu
    [J]. COMPUTING, 2020, 102 (10) : 2117 - 2157
  • [8] Image recognition algorithm based on Parameter Optimization of gravitational search
    Lei Hu
    [J]. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRONICS, NETWORK AND COMPUTER ENGINEERING (ICENCE 2016), 2016, 67 : 594 - 598
  • [9] A study based on image enhancement algorithm based on adaptive genetic algorithm
    Hang, L
    Zhou, JL
    Wei, ZC
    Tao, L
    Liu, ZM
    [J]. PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON COMPUTER AIDED DESIGN & COMPUTER GRAPHICS, 1999, : 1277 - 1281
  • [10] An adaptive image enhancement algorithm
    Centeno, JAS
    Haertel, V
    [J]. PATTERN RECOGNITION, 1997, 30 (07) : 1183 - 1189
12345