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Reseach Article

A Novel Three Stage CBIR using Varying Higher-Order Zernike Moments and its Performance Analysis

by Dipti Jadhav, Mohini Patil, Anagha Patil, Lalita Phalak
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 3
Year of Publication: 2013
Authors: Dipti Jadhav, Mohini Patil, Anagha Patil, Lalita Phalak
10.5120/13093-0374

Dipti Jadhav, Mohini Patil, Anagha Patil, Lalita Phalak . A Novel Three Stage CBIR using Varying Higher-Order Zernike Moments and its Performance Analysis. International Journal of Computer Applications. 75, 3 ( August 2013), 33-38. DOI=10.5120/13093-0374

@article{ 10.5120/13093-0374,
author = { Dipti Jadhav, Mohini Patil, Anagha Patil, Lalita Phalak },
title = { A Novel Three Stage CBIR using Varying Higher-Order Zernike Moments and its Performance Analysis },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 3 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 33-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number3/13093-0374/ },
doi = { 10.5120/13093-0374 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:18.692044+05:30
%A Dipti Jadhav
%A Mohini Patil
%A Anagha Patil
%A Lalita Phalak
%T A Novel Three Stage CBIR using Varying Higher-Order Zernike Moments and its Performance Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 3
%P 33-38
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper features the novel three stage CBIR system using different orders of Zernike moments. In the first stage, segmentation is done using various image processing techniques. In the second stage, two sets of features each containing 32 Zernike moments and one more set containing 62 Zernike moments with different orders are extracted from the images. This paper also presents an experimental analysis of using different orders of Zernike moments. In the final stage, the experimental results show that the Zernike moments of order 3-10 shows the better results.

References
  1. Dipti Jadhav, Gargi Phadke, Satish Devane, "Novel Weight Allocation technique for Image Retrieval using Higher Order Color Moments and CCM Texture Features", ICALIP, IEEE 2012,pg 129-133, Shanghai,China.
  2. AbhinavDeshpande, S K Tadse, " Design Approach for Content – Based Image Retrieval using Gabor- Zernike features", Vol. 4, No. 04, April 2012.
  3. Basavaraj S. Anami, Suvarna S Nandyal, A. Govardhan, "Suitability of Shape and Texture Features in Retrieval Medicinal Plant Images in Indian Context", Indian Journal of Machine Learning and Computing, Vol 2, No December 2012.
  4. Dipti Jadhav, Gargi Phadke, Satish Devane, "Colour and Texture Feature Based Hybrid Appraoch for Image Retrieval", Advances in Computer Science, Eng. And Applications. , AISC 166, pg 101-111, Springer-Verlag Berlin, Heidelberg 2012.
  5. Hongli Tian, Huiqiang Yan, Hongdong Zhao, "A Fast and Accurate Approach to the Computation of Zernike Moments", Applied Informatics and Communications, Communications in Computer and Information Science, Vol 228, 2011, pg. 46-53.
  6. Manimala Singh and K Hemachandran, "Content Based Image Retrieval Using Color and Texture", Signal and Image Processing : An International Journal(SIPIJ), Vol 3, No 1 ,Febraury 2012.
  7. Shriram K V, P. L. K Priyadarsini, Subashri V. , " CBIR – An Analysis and Suggestion for Improvement. " An International Journal of Computer Applications(0975-8887, Volume 42, No. 14, March 2012).
  8. Dengsheng Zhang, Guojun Lu, "Review of Shape Representation and Description Techniques", Pattern Recognition 37 2004, 1-19, Elsevier.
  9. Tohid Sheghi, "Features Composition For Proficient and Real Time Retrieval In CBIR System", Journal of Asian Scientific Research, 2013, 3(1); 68-74.
  10. Dengsheng Zhang, Guojun Lu, "A Comparative Study of Three Region Shape Descriptors", DICTA2002: Digital Image Computing Techniques and Applications, 21—22 Jan-02.
  11. Ye Bin and PengJia-xiong, "Improvement and Invariance Analysis of Zernike Moments using as a Region based Shape Descriptor", SIBGRAPI '02 Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing, 2002.
  12. Amir Tahmasbin, Fatemeh Saki, Shahriar B. Shokouhi, "Classification of benign and malignant masses based on Zernike moments", Comput Bio Med. 2011, Aug; 41(8):726-35 doi:10. 1016/j. compbiomed. 2011. 06. 009. Epub 2011 Jul 1.
  13. Xinmeng Liao, "Image Analysis by Moments. Simon Xinmeng Liao 1993,The University of Manitoba, Winnipeg, Manitoba , Canada.
  14. B. Ramamurthy, K. R. Chandran, "Content based Image Retrieval for Medical ImagesUsing Canny Edge Detection" Algorithm International Journal of Computer Applications (0975 – 8887) Volume 17– No. 6, March 2011.
  15. Ch. Srinivasa Rao , S. Srinivas Kumar and B. Chandra Mohan, "Content Based Image Retrieval using Exact Legendre Moments and Support Vector Machine", The International Journal of Multimedia & its Applications (IJMA), Vol. 2, No. 2, May2010.
  16. Tsong-Wuu Lin, Yun-Feng Chou, "A Comparative Study of Zernike Moments for Image Retrieval", 16th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2003)2003.
Index Terms

Computer Science
Information Sciences

Keywords

CBIR Zernike moments moments order analysis precision recall