A Complex Network-Based Approach for Texture Analysis

被引：0
|
作者：
Backes, Andre Ricardo [1 ]
Casanova, Dalcimar
Bruno, Odemir Martinez
机构：
[1] Univ Fed Uberlandia, Fac Comp, Av Engenheiro Dinz 1178,CP 593, BR-38400 Uberlandia, MG, Brazil
来源：
PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS | 2010年 / 6419卷
基金：
巴西圣保罗研究基金会;
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose a novel texture analysis method using the complex network theory. It was investigated how a texture image can be effectively represented, characterized and analyzed in terms of a complex network. The propose uses degree measurements in a dynamic evolution network to compose a set of feasible shape descriptors. Results show that the method is very robust and it presents a very excellent texture discrimination for all considered classes.
引用
收藏
页码：354 / +
页数：2
相关论文
共 50 条
  • [1] Texture analysis and classification: A complex network-based approach
    Backes, Andre Ricardo
    Casanova, Dalcimar
    Bruno, Odemir Martinez
    [J]. INFORMATION SCIENCES, 2013, 219 : 168 - 180
  • [2] Image Recognition and Analysis: A Complex Network-Based Approach
    Ma, Zhuang
    Huang, Guangdong
    [J]. IEEE ACCESS, 2022, 10 : 109537 - 109543
  • [3] A complex network-based approach for boundary shape analysis
    Backes, Andre Ricardo
    Casanova, Dalcimar
    Bruno, Odemir Martinez
    [J]. PATTERN RECOGNITION, 2009, 42 (01) : 54 - 67
  • [4] A Complex Network-Based Approach to the Analysis and Classification of Images
    de Lima, Geovana V. L.
    Castilho, Thullyo R.
    Bugatti, Pedro H.
    Saito, Priscila T. M.
    Lopes, Fabricio M.
    [J]. PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2015, 2015, 9423 : 322 - 330
  • [5] Network-based analysis of complex diseases
    Liu, Z. -P.
    Wang, Y.
    Zhang, X. -S.
    Chen, L.
    [J]. IET SYSTEMS BIOLOGY, 2012, 6 (01) : 22 - 33
  • [6] Complex network-based pertussis and croup cough analysis: A machine learning approach
    Renjini, A.
    Swapna, M. S.
    Raj, Vimal
    Kumar, K. Satheesh
    Sankararaman, S.
    [J]. PHYSICA D-NONLINEAR PHENOMENA, 2022, 433
  • [7] Pattern recognition tool based on complex network-based approach
    Casanova, Dalcimar
    Backes, Andre Ricardo
    Bruno, Odemir Martinez
    [J]. IC-MSQUARE 2012: INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELLING IN PHYSICAL SCIENCES, 2013, 410
  • [8] Complex network-based time series analysis
    Yang, Yue
    Yang, Huijie
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2008, 387 (5-6) : 1381 - 1386
  • [9] A Network-Based Approach to the Analysis of Geomagnetic Fluctuations
    Zolotukhin, Yaroslav V.
    Markelov, Oleg A.
    Bogachev, Mikhail I.
    [J]. PROCEEDINGS OF THE 2017 IEEE RUSSIA SECTION YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING CONFERENCE (2017 ELCONRUS), 2017, : 761 - 764
  • [10] Network-based approach to Korean handwriting analysis
    Sin, BK
    Kim, JH
    [J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 1998, 12 (02) : 233 - 249
12345