Fast and consistent images areas recognition using an Improved Shuffled Frog Leaping Algorithm

被引：2
|
作者：
Ladgham, Anis [1 ,2 ]
Sakly, Anis [2 ,3 ]
Mtibaa, Abdellatif [1 ,2 ]
机构：
[1] Univ Monastir, Fac Sci Monastir, Elect & Microelect Lab, Monastir, Tunisia
[2] Univ Monastir, Natl Engn Sch Monastir, Dept Elect Engn, Monastir, Tunisia
[3] Univ Monastir, Res Unit Ind Syst Study & Renewable Energy ESIER, Natl Engn Sch Monastir ENIM, Monastir, Tunisia
来源：
INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING | 2015年 / 8卷 / 05期
关键词：
recognition; SFLA; IMSFLA; fitness function; imaging;
D O I：
10.1504/IJSISE.2015.071957
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Improved Shuffled Frog Leaping Algorithm (IMSFLA) is a novel optimal algorithm of automatic recognition of areas of greyscale-based images. It is as an efficient improvement of the original Shuffled Frog Leaping Algorithm (SFLA). SFLA is a newly developed evolutionary algorithm with good global search capability. In this new paradigm, we propose a new fitness function. It is computationally simple and assists to quickly discover the adequate threshold in a continuous range of grey levels. And more, the new method is enhanced by the cloning of the fitter particles at the expense of the worst particles. The performance of IMSFLA is evaluated towards an Artificial Bee Colony algorithm (ABC) based method, two Genetic algorithm (GA) based method and Artificial Fish-Swarm (AFS) based method for many benchmark images and IMSFLA outperforms these algorithms.
引用
收藏
页码：331 / 342
页数：12
相关论文
共 50 条
  • [1] A Fast Shuffled Frog Leaping Algorithm
    Wang, Lianguo
    Gong, Yaxing
    2013 NINTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC), 2013, : 369 - 373
  • [2] An improved shuffled frog leaping algorithm
    Jiang, Jianguo
    Ma, Pingli
    Gao, Xuan
    Li, Jin
    Zhao, Fenqing
    Journal of Information and Computational Science, 2013, 10 (06): : 1665 - 1673
  • [3] An improved Shuffled Frog Leaping Algorithm
    Jiang, J. (jjg3306@126.com), 2013, Binary Information Press, Flat F 8th Floor, Block 3, Tanner Garden, 18 Tanner Road, Hong Kong (10):
  • [4] Recognition of practical speech emotion using improved shuffled frog leaping algorithm
    ZHANG Xiaodan
    HUANG Chengwei
    ZHAO Li
    ZOU Cairong
    Chinese Journal of Acoustics, 2014, 33 (04) : 441 - 456
  • [5] Recognition of practical speech emotion using improved shuffled frog leaping algorithm
    Zhang, X., 1600, Science Press (39):
  • [6] An Improved Shuffled Frog Leaping Algorithm for TSP
    Li, Zhoufang
    Wang, Yuhua
    ADVANCES IN MULTIMEDIA, SOFTWARE ENGINEERING AND COMPUTING, VOL 2, 2011, 129 : 139 - 144
  • [7] An Improved Shuffled Frog Leaping Algorithm With A Fast Search Strategy For Optimization Problems
    Jaballah, Sami
    Rouis, Kais
    Ben Abdallah, Faten
    Tahar, Jamal Bel Hadj
    2014 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP), 2014, : 23 - 27
  • [8] Research on Improved Strategy of Shuffled Frog Leaping Algorithm
    Wang, Zhen
    Zhang, Danhong
    Wang, Biao
    Chen, Wenwen
    2019 34RD YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), 2019, : 270 - 273
  • [9] Improved shuffled frog leaping algorithm for solving TSP
    Luo, Jian-Ping
    Li, Xia
    Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering, 2010, 27 (02): : 173 - 179
  • [10] Improved shuffled frog leaping algorithm and its application
    Zhang, Xiao-Dan
    Hu, Feng
    Zhao, Li
    Zou, Cai-Rong
    Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology, 2012, 36 (06): : 939 - 944
12345