Texture image classification using multi-fractal dimension

被引：0
|
作者：
Zhuo-fu Liu
En-fang Sang
机构：
[1] Harbin Engineering University,School of Underwater Acoustic Engineering
来源：
Journal of Marine Science and Application | 2003年 / 2卷 / 2期
关键词：
wavelet analysis; multi-fractal dimension; sonar image classification; texture; LVQ classifier; TP391.41; A;
D O I：
10.1007/BF02918668
中图分类号：
学科分类号：
摘要：
This paper presents a supervised classification method of sonar image, which takes advantages of both multi-fractal theory and wavelet analysis. In the process of feature extraction, image transformation and wavelet decomposition are combined and a feature set based on multi-fractal dimension is obtained. In the part of classifier construction, the Learning Vector Quantization (LVQ) network is adopted as a classifier. Experiments of sonar image classification were carried out with satisfactory results, which verify the effectiveness of this method.
引用
收藏
页码：76 / 81
页数：5
相关论文
共 50 条
  • [1] Texture image classification using multi fractal dimension
    LIU Zhuo-fu and SANG En-fang School of Underwater Acoustic Engineering
    [J]. Journal of Marine Science and Application, 2003, (02) : 76 - 81
  • [2] Tissue Image Classification Using Multi-Fractal Spectra
    Mukundan, Ramakrishnan
    Hemsley, Anna
    [J]. INTERNATIONAL JOURNAL OF MULTIMEDIA DATA ENGINEERING & MANAGEMENT, 2010, 1 (02): : 62 - 75
  • [3] Multi-fractal Detrended Texture Feature for Brain Tumor Classification
    Reza, Syed M. S.
    Mays, Randall
    Iftekharuddin, Khan M.
    [J]. MEDICAL IMAGING 2015: COMPUTER-AIDED DIAGNOSIS, 2015, 9414
  • [4] On texture classification using fractal dimension
    Chen, YQ
    Bi, G
    [J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 1999, 13 (06) : 929 - 943
  • [5] Texture classification algorithm of wood hyper-spectral image based on multi-fractal spectra
    Tang Yan-hui
    Zhao Peng
    Wang Cheng-kun
    [J]. CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS, 2019, 34 (12) : 1182 - 1190
  • [6] Comparison of the fractal dimension using the texture image
    Gao Lan
    Zhang Hui
    Zhao Li
    Li Jun
    Zhang Zunhua
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE INFORMATION COMPUTING AND AUTOMATION, VOLS 1-3, 2008, : 1326 - +
  • [7] BREAST CANCER DIAGNOSIS USING MULTI-FRACTAL DIMENSION SPECTRA
    George, Loay E.
    Sager, Kamal H.
    [J]. ICSPC: 2007 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS, VOLS 1-3, PROCEEDINGS, 2007, : 592 - +
  • [8] Block-based selection random forest for texture classification using multi-fractal spectrum feature
    Zhang, Qian
    Xu, Yong
    [J]. NEURAL COMPUTING & APPLICATIONS, 2016, 27 (03): : 593 - 602
  • [9] Solar Image Restoration with the CycleGAN Based on Multi-fractal Properties of Texture Features
    Jia, Peng
    Huang, Yi
    Cal, Boun
    Cal, Dongmei
    [J]. ASTROPHYSICAL JOURNAL LETTERS, 2019, 881 (02)
  • [10] Block-based selection random forest for texture classification using multi-fractal spectrum feature
    Qian Zhang
    Yong Xu
    [J]. Neural Computing and Applications, 2016, 27 : 593 - 602
12345