General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
    • Journal Metrics:

Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2010 Vol.2(5): 695-700 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2010.V2.227

Image Retrieval using Texture Features extracted from GLCM, LBG and KPE

H. B. Kekre, Sudeep D. Thepade, Tanuja K. Sarode and Vashali Suryawanshi

Abstract—In this paper a novel method for image retrieval based on texture feature extraction using Vector Quantization (VQ) is proposed. We have used Linde-Buzo-Gray (LBG) and Kekre's Proportionate Error (KPE) algorithms for texture feature extraction. The image is first divided into pixel blocks of size 2X2, each pixel with red, green and blue component. Atraining vector of dimensions 12 is created using this block. Collection of such training vectors is a training set. To generate the texture feature vector (size of codebook 16X12) of the image, popular LBG and KPE algorithms are applied on the initial training set. Results are compared with the Gray Level Co-occurance Matrix (GLCM) method. The proposed method requires 89.10% less computations compared to the GLCM method. The LBG and KPE based image retrieval techniques give higher precision and recall values than GLCM based method, which concludes that the proposed techniques give better texture feature discrimination capability than GLCM.

Index Terms—CBIR, Vector Quantization, GLCM, LBG, KPE.

  Dr.H.B. Kekre is Sr. Professor with Mukesh Patel School of Technology Management and Engineering, SVKM's NMIMS University, Mumbai-56, INDIA (phone: 91-9323557897; fax: 91-022-26717779; e-mail: hbkekre@yahoo.com).
 Sudeep D. The pade is Ph.D Research Scholar and Assistant Professor, with Mukesh Patel School of Technology Management and Engineering, SVKM's NMIMS University, Mumbai-56, INDIA. (phone: 91-9766258833; fax: 91-022-26717779; e-mail: sudeepthepade@gmail.com)
 Tanuja K. Sarode is Ph.D Research Scholar with Mukesh Patel School of Technology Management and Engineering, SVKM's NMIMS University, Mumbai-56, INDIA. Assistant Professor, Thadomal Shahani Engineering College, Bandra(w), Mumbai, INDIA. (phone: 91-9820122805; e-mail: tanuja_0123@yahoo.com).
 Vaishali Suryawanshi is Lecturer with Thadomal Shahani Engineering College, Bandra(w), Mumbai, INDIA. (phone: 91-9869207848; e-mail: vaishali.surya@gmail.com).

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Cite: H. B. Kekre, Sudeep D. Thepade, Tanuja K. Sarode and Vashali Suryawanshi, "Image Retrieval using Texture  Features  extracted  from  GLCM,  LBG  and  KPE,"  International  Journal  of  Computer  Theory  and
Engineering
vol. 2, no. 5, pp. 695-700, 2010.  


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