Genetic Algorithm -Based Color Space Generation

被引:0
|
作者
Hosseini, S. M. [1 ]
Akbarpoor, S.
Amjadi, S. [1 ]
Mirsalari, H. [1 ]
机构
[1] Univ Birjand, Dept Engn, Birjand, Iran
关键词
Genetic Algorithm; Color space; convex constraint programming; Lip detection; clustering criteria; SEGMENTATION; ILLUMINATION; CONTRIBUTE; CONES;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Many color spaces can be creating by linear transformations that are captured by 3x3 matrices from others. The Main target of this paper is introducing new color transform that Lip detection is used as benchmark problem for this color space. In the New color space, the Lip and non-Lip classes are separated as well. This problem is converted to a convex constraint programming which Genetic Algorithm is used for solving this problem. Founded converting matrix is tested in Lip detection in simple to complex scene. Obtained results over many databases are compared with existing methods which show superiority of the proposed method.
引用
收藏
页码:206 / 211
页数:6
相关论文
共 50 条
  • [31] A novel color image watermarking method based on genetic algorithm
    Lu, Yinghua
    Han, Jialing
    Kong, Jun
    Hou, Gang
    Wang, Wei
    INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION, 2006, 345 : 72 - 80
  • [32] Genetic algorithm-based detection of the layout of color yarns
    Pan, Ruru
    Gao, Weidong
    Liu, Jihong
    Wang, Hongbo
    JOURNAL OF THE TEXTILE INSTITUTE, 2011, 102 (02) : 172 - 179
  • [34] A test paper generation algorithm based on diseased enhanced genetic algorithm
    Cui, JunChuan
    Zhou, Ya
    Huang, Guimin
    HELIYON, 2023, 9 (06)
  • [35] A diversity-based genetic algorithm for scenario generation
    Oliveira, Beatriz Brito
    Carravilla, Maria Antonia
    Oliveira, Jose Fernando
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2022, 299 (03) : 1128 - 1141
  • [36] The Location and Capacity of Distributed Generation Based on Genetic Algorithm
    Ye, Zezhou
    Lin, Rongheng
    Zou, Hua
    Wu, Budan
    Guo, Naiwang
    2017 5TH INTERNATIONAL CONFERENCE ON ENTERPRISE SYSTEMS (ES), 2017, : 1 - 6
  • [37] Test Case Generation Based on Adaptive Genetic Algorithm
    Lin, Peng
    Bao, Xiaolu
    Shu, Zhiyong
    Wang, Xiaojuan
    Liu, Jingmin
    2012 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (ICQR2MSE), 2012, : 863 - 866
  • [38] Robot Posture Generation based on Genetic Algorithm for Imitation
    Obo, Takenori
    Loo, Chu Kiong
    Kubota, Naoyuki
    2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2015, : 552 - 557
  • [39] Test Case Generation Based on Hierarchical Genetic Algorithm
    Liu Shurong
    Hu Changzhen
    Xue Jingfeng
    Li Zhiqiang
    PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON MECHATRONICS, CONTROL AND ELECTRONIC ENGINEERING, 2014, 113 : 262 - 265
  • [40] Effective Generation of Test Case Based on Genetic Algorithm
    Shi, Zhiguo
    Zou, Liren
    Tong, Dapeng
    Wang, Mingqian
    MECHATRONICS AND INDUSTRIAL INFORMATICS, PTS 1-4, 2013, 321-324 : 2952 - 2955