Advertisement

An Efficient Content-Based Image Retrieval (CBIR) Using GLCM for Feature Extraction

  • P. ChandanaEmail author
  • P. Srinivas Rao
  • C. H. Satyanarayana
  • Y. Srinivas
  • A. Gauthami Latha
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 555)

Abstract

Today, modern technology led to a faster growth of digital media collection, and it contains both still images and videos. Storage devices contain large amount of digital images, increasing the response time of a system to retrieve images required from such collections, which degrades the performance. Various search skills are needed to find what we are searching for in such large collections. The annotations are given manually for images by describing with the set of keywords. By doing so, the contents of an image retrieve images of interest, but it is time-consuming. Also, different individuals may annotate the same image using different keywords, which make it difficult to create a suitable classification and annotate images with the exact keywords. To overcome all these reasons, content-based image retrieval (CBIR) is the area which is used for extracting images. The technique gray-level co-occurrence matrix (GLCM) is discussed and analyzed for retrieval of image. It considers the various features such as color histogram, texture, and edge density. In this paper, we mainly concentrate on texture feature for accurate and effective content-based image retrieval system.

Keywords

CBIR GLCM 

References

  1. 1.
    I. Felci Rajam and S. Valli, “A Survey on Content Based Image Retrieval”, Life Science Journal 2013, ISSN: 1097-8135Google Scholar
  2. 2.
    Yogita Mistry, Dr.D.T. Ingole, “Survey on Content Based Image Retrieval Systems”, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 1, Issue 8, October 2013, ISSN (Print): 2320-9798Google Scholar
  3. 3.
    Jianlin Zhang; Wensheng Zou “Content-Based Image Retrieval using color and edge direction features”, Advanced Computer Control (ICACC), 2010 2nd International Conference on (Volume: 5), 27–29 March 2010Google Scholar
  4. 4.
    S.Meenachi Sundaresan, Dr. K.G.Srinivasagan, “Design of Image Retrieval Efficacy System Based on CBIR” International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 4, April 2013 ISSN: 2277 128X Google Scholar
  5. 5.
    Bansal M., Gurpreet K., and Maninder K, “International Content-Based Image Retrieval Based on Color”, Journal of Computer Science and Technology, vol. 3, no. 1, pp. 295–297, 2012Google Scholar
  6. 6.
    Herráez J. and Ferri J, “Combining Similarity Measures in Content-Based Image Retrieval”, Pattern Recognition Letters, vol. 29, no. 16, pp. 2174–2181, 2008Google Scholar
  7. 7.
    Kekre B., Mishra D., and Kariwala A., “A Survey of CBIR Techniques and Semantics”, International Journal of Engineering Science and Technology, vol. 3, no. 5, pp. 4510–4517, 2011Google Scholar
  8. 8.
    Jayaprabha P. and Somasundaram M, “Content Based Image Retrieval Methods using Graphical Image Retrieval Algorithm”, Computer Science and Application, vol. 1, no. 1. pp. 9–14, 2012Google Scholar
  9. 9.
    Manimala S. and Hemachandran H, “Content Based Image Retrieval using Color and Texture”, Signal and Image Processing: An International Journal, vol. 3, no. 1, pp. 39–57, 2012Google Scholar
  10. 10.
    Biswajit pathak, debajyoti barooah, “Texture analysis based on the Gray-level co-occurrence Matrix considering possible Orientations”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 2, Issue 9, September 2013, ISSN: 2320 – 3765Google Scholar
  11. 11.
    Miroslav Benco, Robert Hudec, Patrik Kamencay, Martina Zachariasov, “An Advanced Approach to Extraction of Colour Texture Features Based on GLCM”, Int J Adv Robot Syst, 2014, 11:104 | doi: 10.5772/58692
  12. 12.
    P. Mohanaiah, P. Sathyanarayana, L. Guru Kumar, “Image Texture Feature Extraction Using GLCM Approach”, International Journal of Scientific and Research Publications, Volume 3, Issue 5, May 2013 1 ISSN 2250-3153Google Scholar
  13. 13.
    Manoharan Subramanian and Sathappan Sathappan, “An Efficient Content Based Image Retrieval using Advanced Filter Approaches”, The International Arab Journal of Information Technology, Vol. 12, No. 3, May 2015, pgno: 229–236Google Scholar
  14. 14.
    M.Harsha vardhan, CS S.Visweswara Rao, “GLCM Architecture For Image Extraction”, International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 3, Issue 1, January 2014, pg 74–82Google Scholar
  15. 15.
    Mryka Hall-Byer, “GLCM Texture: A Tutorial v. 2.7 April 2004”, Department of Geography, University of Calgary, CanadaGoogle Scholar
  16. 16.
    D. Sreenivasa Rao, N. Prameela, “Comparative Study on Content Based Image Retrieval Based on Color, Texture (GLCM & CCM) Features”, International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064, Volume 4 Issue 2, February 2015Google Scholar
  17. 17.
    Metty Mustikasari, Sarifuddin M, “Texture Based Image Retrieval Using GLCM and Image Sub-Block”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5, Issue 3, March 2015 ISSN: 2277 128xGoogle Scholar
  18. 18.
    Dr. Meenakshi Sharma, Anjali Batra, “An Efficient Content Based Image Retrieval System”, IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278–0661, p- ISSN: 2278-8727 Volume 16, Issue 3, Ver. VI (May–Jun. 2014), PP 95–104Google Scholar
  19. 19.
    Sapthagiri.k, Manickam.L, “An Efficient Image Retrieval Based on Color, Texture (GLCM & CCM) features, and Genetic-Algorithm”, International Journal Of Merging Technology And Advanced Research In Computing Issn: 2320–1363Google Scholar
  20. 20.
  21. 21.
    Amanbir Sandhu, Aarti Kochhar, “Content Based Image Retrieval using Texture, Color and Shape for Image Analysis”, Council for Innovative Research International Journal of Computers & Technology, Volume 3, No. 1, AUG, 2012, ISSN: 2277-3061Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  • P. Chandana
    • 1
    Email author
  • P. Srinivas Rao
    • 2
  • C. H. Satyanarayana
    • 3
  • Y. Srinivas
    • 4
  • A. Gauthami Latha
    • 1
  1. 1.Department of Computer Science EngineeringMESBhogapuramIndia
  2. 2.Department of Computer Science EngineeringAUVisakhapatnamIndia
  3. 3.Department of CSEJNTUKakinadaIndia
  4. 4.Department of ITGITAM UniversityVisakhapatnamIndia

Personalised recommendations