Texture classification using invariant features of local textures

被引:6
|
作者
Janney, P. [1 ]
Geers, G. [2 ]
机构
[1] Univ New S Wales, Sch Engn & Comp Sci, Sydney, NSW 2032, Australia
[2] NICTA, Sydney, NSW 2032, Australia
基金
澳大利亚研究理事会;
关键词
D O I
10.1049/iet-ipr.2008.0229
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, the authors present a texture descriptor algorithm called invariant features of local textures (IFLT). IFLT generates scale, rotation and (essentially) illumination invariant descriptors from a small neighbourhood of pixels around a centre pixel or a texture patch. Texture classification experiments were carried out on the Brodatz, Outex and KTH-TIPS2 databases. Demonstrated texture classification accuracy exceeds the previously published state of the art at a significantly lower computational cost. Experiments also suggests that IFLT descriptors are in a sense intuitive texture descriptors.
引用
收藏
页码:158 / 171
页数:14
相关论文
共 50 条
  • [31] Noise robust and rotation invariant entropy features for texture classification
    Shakoor, Mohammad Hossein
    Tajeripour, Farshad
    MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (06) : 8031 - 8066
  • [32] Invariant texture classification using ridgelet packets
    Chen, G. Y.
    Bhattacharya, P.
    18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS, 2006, : 464 - +
  • [33] Local Binary Pattern Regrouping for Rotation Invariant Texture Classification
    Asma, Zitouni
    Brahim, Nini
    JOURNAL OF INFORMATION TECHNOLOGY RESEARCH, 2022, 15 (01)
  • [34] Rotation-invariant Local Binary Pattern Texture Classification
    Doshi, Niraj P.
    Schaefer, Gerald
    PROCEEDINGS ELMAR-2012, 2012, : 71 - 74
  • [35] Is local dominant orientation necessary for the classification of rotation invariant texture?
    Guo, Zhenhua
    Li, Qin
    Zhang, Lin
    You, Jane
    Zhang, David
    Liu, Wenhuang
    NEUROCOMPUTING, 2013, 116 : 182 - 191
  • [36] Local directional derivative pattern for rotation invariant texture classification
    Guo, Zhenhua
    Li, Qin
    You, Jane
    Zhang, David
    Liu, Wenhuang
    NEURAL COMPUTING & APPLICATIONS, 2012, 21 (08): : 1893 - 1904
  • [37] Completed Local Binary Count for Rotation Invariant Texture Classification
    Zhao, Yang
    Huang, De-Shuang
    Jia, Wei
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 21 (10) : 4492 - 4497
  • [38] Local directional derivative pattern for rotation invariant texture classification
    Zhenhua Guo
    Qin Li
    Jane You
    David Zhang
    Wenhuang Liu
    Neural Computing and Applications, 2012, 21 : 1893 - 1904
  • [39] COMPLETED LOCAL DERIVATIVE PATTERN FOR ROTATION INVARIANT TEXTURE CLASSIFICATION
    Hu, Yuting
    Long, Zhiling
    AlRegib, Ghassan
    2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2016, : 3548 - 3552
  • [40] Local Binary Pattern approach for Rotation Invariant Texture Classification
    Bhandari, Smriti H.
    Yadrave, Amruta G.
    2015 INTERNATIONAL CONFERENCED ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT-2015), 2015,