CFP last date
20 January 2025
Reseach Article

Image Retrieval using Chain code and Autoregression

by Salunkhe Shweta S., Gengaje Sachin R.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 4
Year of Publication: 2017
Authors: Salunkhe Shweta S., Gengaje Sachin R.
10.5120/ijca2017916000

Salunkhe Shweta S., Gengaje Sachin R. . Image Retrieval using Chain code and Autoregression. International Journal of Computer Applications. 180, 4 ( Dec 2017), 25-28. DOI=10.5120/ijca2017916000

@article{ 10.5120/ijca2017916000,
author = { Salunkhe Shweta S., Gengaje Sachin R. },
title = { Image Retrieval using Chain code and Autoregression },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2017 },
volume = { 180 },
number = { 4 },
month = { Dec },
year = { 2017 },
issn = { 0975-8887 },
pages = { 25-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number4/28789-2017916000/ },
doi = { 10.5120/ijca2017916000 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:59:44.080035+05:30
%A Salunkhe Shweta S.
%A Gengaje Sachin R.
%T Image Retrieval using Chain code and Autoregression
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 4
%P 25-28
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Over the years passed has witnessed great interest in research on content-based image retrieval. This has paved the way for a large number of new techniques and systems, and a growing interest in associated fields to support such systems. Similarly, digital image retrieval has expanded in many directions that are resulting into explosion in the volume of image data required to be organized. This paper presents a framework for image retrieval based on chain code and auto regression that helps to achieve higher retrieval efficiency. In this paper, we discuss about the key contributions of the methodology that is followed while performing experiment for image retrieval based on chain code and auto regression. Here comparative study of results and also efficiency of both these image retrieval techniques are discussed which are obtained while experimentation.

References
  1. Utpal Garain, Thierry Paquet ,“Off-Line Multi-Script Writer Identification using AR Coefficients”, 10th International Conference on Document Analysis and Recognition, 2009.
  2. A. Bandera, C. Urdiales, F. Arrebola, F. Sandoval, “2D object recognition based on curvature functions obtained from local histograms of the contour chain code”, Pattern Recognition Letters (49±55),1999.
  3. Imran Siddiqi , Nicole Vincent, “A Set of Chain Code Based Features for Writer Recognition”, 10th International Conference on Document Analysis and Recognition,2009.
  4. Kirti Jain, Dr.Sarita Singh Bhadauria, Dr.Gulab Singh,“A Hybrid Technique for Shape Matching Based on chain code and DFS Tree”, IOSR Journal of Computer Engineering, Vol. 11, Issue 3 , pp 51-56, 2013.
  5. Jongan Park,et.al., “Image Retrieval Technique Using Rearranged Freeman Chain Code”, First International Conference on Informatics and Computational Intelligence, 2011.
  6. Farida Khursheed and A.H. Mir, “AR Model Based Human Identification using Ear Biometrics”,International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.7, No.3 (2014), pp.347-360.
  7. K. Deguchi, “Two-dimensional Auto-regressive Model for Analysis and Sythesis of Gray-level textures,” in Proc. of the 1st Int. Sym. for Science on Form, General Ed. S. Ishizaka, Eds. Y. Kato, R. Takaki, and J. Toriwaki, pp. 441-449, Tokyo, Japan, 1986.
  8. Arvind nagathan, Manimozhi, Jitendranath Mungara ," content-based image retrieval system using feed-forward back propagation neural network " IJCSNS international journal of computer science and network security, vol.14 no.6, June 2014.
  9. Savvash " Benchmark databases for CBIR", 2008
Index Terms

Computer Science
Information Sciences

Keywords

Auto-regression Chain code Image retrieval