Feature extraction using dual-tree complex wavelet transform and gray level co-occurrence matrix

被引:62
作者
Yang, Peng [1 ]
Yang, Guowei [1 ]
机构
[1] Nanchang Hangkong Univ, Sch Informat Engn, Nanchang, Jiangxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Feature extraction; Texture classification; Dual-tree complex wavelet transform; Gray level co-occurrence matrix; TEXTURE CLASSIFICATION; ROTATION; ENTROPY;
D O I
10.1016/j.neucom.2016.02.061
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper introduces a new feature extraction method for texture classification application. In the proposed method, dual-tree complex wavelet transform is first performed on the original image to obtain sub-images at six directions. After that gray level co-occurrence matrix of each sub-image is calculated and the corresponding statistical values are used to construct the final feature vector. The experimental results demonstrate that our proposed method has the property of robustness, and can achieve higher texture classification accuracy rate than the conventional methods. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:212 / 220
页数:9
相关论文
共 32 条
  • [1] Texture classification using Gabor wavelets based rotation invariant features
    Arivazhagan, S.
    Ganesan, L.
    Priyal, S. Padam
    [J]. PATTERN RECOGNITION LETTERS, 2006, 27 (16) : 1976 - 1982
  • [2] Texture classification using wavelet transform
    Arivazhagan, S
    Ganesan, L
    [J]. PATTERN RECOGNITION LETTERS, 2003, 24 (9-10) : 1513 - 1521
  • [3] Multiscale texture classification using dual-tree complex wavelet transform
    Celik, Turgay
    Tjahjadi, Tardi
    [J]. PATTERN RECOGNITION LETTERS, 2009, 30 (03) : 331 - 339
  • [4] An Efficient Method for Face Feature Extraction and Recognition based on Contourlet Transforms and Principal Component Analysis
    Chitaliya, N. G.
    Trivedi, A. I.
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE AND EXHIBITION ON BIOMETRICS TECHNOLOGY, 2010, 2 : 52 - 61
  • [5] Multi-scale gray level co-occurrence matrices for texture description
    de Siqueira, Fernando Roberti
    Schwartz, William Robson
    Pedrini, Helio
    [J]. NEUROCOMPUTING, 2013, 120 : 336 - 345
  • [6] The contourlet transform: An efficient directional multiresolution image representation
    Do, MN
    Vetterli, M
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2005, 14 (12) : 2091 - 2106
  • [7] Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance
    Do, MN
    Vetterli, M
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2002, 11 (02) : 146 - 158
  • [8] Fauqueur J., 2005, IEEE INT C IM PROC 2, V2, P846
  • [9] CT and MR Image Fusion Scheme in Nonsubsampled Contourlet Transform Domain
    Ganasala, Padma
    Kumar, Vinod
    [J]. JOURNAL OF DIGITAL IMAGING, 2014, 27 (03) : 407 - 418
  • [10] TEXTURAL FEATURES FOR IMAGE CLASSIFICATION
    HARALICK, RM
    SHANMUGAM, K
    DINSTEIN, I
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1973, SMC3 (06): : 610 - 621