Volume 8 Number 1 (Jan. 2013)
Home > Archive > 2013 > Volume 8 Number 1 (Jan. 2013) >
JSW 2013 Vol.8(1): 218-227 ISSN: 1796-217X
doi: 10.4304/jsw.8.1.218-227

A Combinatorial K-View Based Algorithm for Texture Classification

Yihua Lan, Yong Zhang, Haozheng Ren
School of Computer Engineering, Huaihai Institute of Technology, Lianyungang, China

Abstract—Image texture classification is widely used in many applications and received considerable attention during the past decades. Several efforts have been made for developing image texture classification algorithms, including the Gray Level Co-Occurrence Matrix (GLCM), Local Binary Patterns and several K-View based algorithms. These K-View based algorithms included are K-View- Template algorithm (K-View-T), K-View-Datagram algorithm (K-View-D), Fast Weighted K-View-Voting algorithm (K-View-V), K-View Using Rotation-Invariant Feature algorithm (K-View-R) and K-View Using Gray Level Co-Occurrence Matrix (K-View-G). There are some discussions about a part of these algorithms in the literatures; however, no complete experimental comparisons are made so far. In this paper, by analyzing those K-View based algorithms, an attempt to utilize the advantages of the K-View-R and K-View-V is made. The new approach which we call combinatorial K-View based method was presented. In addition, we review those K-View based algorithms and perform a comparative study based on the experiments using artificial texture images taken from the Brodatz, the evaluation method of performance between the proposed method and five different K-View algorithms are implemented by using classification accuracy, efficiency and stability.

Index Terms—Texture classification, Voting, K-View algorithms.


Cite: Yihua Lan, Yong Zhang, Haozheng Ren, "A Combinatorial K-View Based Algorithm for Texture Classification," Journal of Software vol. 8, no. 1, pp. 218-227, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
  • Apr 26, 2021 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Jun 22, 2020 News!

    Papers published in JSW Vol 14, No 1- Vol 15 No 4 have been indexed by DBLP     [Click]

  • Sep 13, 2021 News!

    The papers published in Vol 16, No 6 have all received dois from Crossref    [Click]

  • Jan 28, 2021 News!

    [CFP] 2021 the annual meeting of JSW Editorial Board, ICCSM 2021, will be held in Rome, Italy, July 21-23, 2021   [Click]

  • Sep 13, 2021 News!

    Vol 16, No 6 has been published with online version     [Click]