Choquet integral-based morphological operators

被引:0
|
作者
Hocaoglu, AK [1 ]
Gader, P [1 ]
机构
[1] Univ Missouri, Dept Comp Engn & Comp Sci, Columbia, MO 65211 USA
来源
NONLINEAR IMAGE PROCESSING X | 1999年 / 3646卷
关键词
image processing; optimal filtering; fuzzy measure; target detection; multi-layer filtering; morphology;
D O I
10.1117/12.341101
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Gray-scale morphological operators are commonly employed in image processing applications, such, as texture analysis, target detection and image enhancement. One major problem with these operators is their sensitivity to noise. Another issue is finding the right structuring elements for a process. This paper describes: Choquet integral-based morphological operators. These operators do not necessarily use max and min and therefore they are less sensitive to noise. In this paper, we also introduce a technique to find an optimal gray scale structuring element. These developments yield applications, including but not limited to target detection and multi-layer filtering.
引用
收藏
页码:46 / 55
页数:10
相关论文
共 50 条
  • [1] Constructing Choquet integral-based operators that generalize weighted means and OWA operators
    Llamazares, Bonifacio
    INFORMATION FUSION, 2015, 23 : 131 - 138
  • [2] Choquet fuzzy integral-based identification
    Srivastava, S
    Singh, M
    Hanmandlu, M
    2004 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2004, : 1335 - 1340
  • [3] Shapley Value and Choquet Integral-based Operators for Aggregating Correlated Intuitionistic Fuzzy Information
    Zhang, Xiumei
    Xu, Zeshui
    Yu, Xiaohan
    INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 2011, 14 (06): : 1847 - 1857
  • [4] Domain learning using Choquet integral-based morphological shared weight neural networks
    Hocaoglu, AK
    Gader, PD
    IMAGE AND VISION COMPUTING, 2003, 21 (07) : 663 - 673
  • [5] Toward accurate Choquet integral-based neural network
    Yue, SH
    Wang, ZY
    Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9, 2005, : 4621 - 4624
  • [6] Attitudinal Choquet Integral-Based Stochastic Multicriteria Acceptability Analysis
    Mi, Xiaomei
    Liao, Huchang
    Zeng, Xiao-Jun
    2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2020,
  • [7] Material Selection in Engineering Design Using Choquet Integral-Based Linguistic Operators under Hybrid Environment
    Peng, Anhua
    Wen, Xiqin
    Wu, Kaibo
    JOURNAL OF CONTROL SCIENCE AND ENGINEERING, 2015, 2015
  • [8] Choquet integral-based intuitionistic fuzzy bonferroni mean operator
    Garg, Harish
    Agarwal, Nikunj
    Tripathi, Alka
    2016 NINTH INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING (IC3), 2016, : 397 - 400
  • [9] Choquet integral-based decision making approach for robot selection
    Karsak, EE
    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, 2005, 3682 : 635 - 641
  • [10] Choquet fuzzy integral-based hierarchical networks for decision analysis
    Chiang, JH
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1999, 7 (01) : 63 - 71