Content Based Image Retrieval Systems using SIFT: A Survey

International Journal of Electronics and Communication Engineering

© 2015 by SSRG - IJECE Journal

Volume 2 Issue 10

Year of Publication : 2015

Authors : Kimaya S. Meshram and Ajay M. Agarkar

10.14445/23488549/IJECE-V2I10P105

How to Cite?

Kimaya S. Meshram and Ajay M. Agarkar, "Content Based Image Retrieval Systems using SIFT: A Survey," SSRG International Journal of Electronics and Communication Engineering, vol. 2,  no. 10, pp. 16-22, 2015. Crossref, https://doi.org/10.14445/23488549/IJECE-V2I10P105

Abstract:

This paper provides the novel information about Image Retrieval and Content based image retrieval (CBIR) system since it is now a big need of society. CBIR is a method for finding similar images from large image databases. Different approaches are used for Content based image retrieval, out of which Scale invariant feature transform is very popular. In this paper, we discuss the Industrial product development using SIFT Algorithm and results obtained in several experiments proposed to evaluate the application of Scale Invariant Feature Transform (SIFT) in content based Image Retrieval (CBIR) systems.

Keywords:

 Content Based Image Retrieval (CBIR), Scale Invariant Feature Transform (SIFT).

References:

[1]David G. Lowe,” Distinctive Image Features from Scale-Invariant Keypoints”International Journal of Computer Vision, vol. 6, no. 2,pp. 91-110,2004.
[2]Mario E. Munich, Paolo Pirjanian, Enrico di Bernardo, Luis Goncalves, Niklas Karlsson, and David Lowe,”SIFTing through features with ViPR”,Robotics & Automation Magazine,IEEE,2006.
[3]Xu Wangming, Wu Jin, Liu Xinhai, Zhu Lei, Shi Gang,” Application of Image SIFT Features to The Context of CBIR”, International Conference on Computer Science and Software Engineering,IEEE,2008.
[4]Zhuozheng Wang, KebinJia, Pengyu Liu,“A Novel Image Retrieval Algorithm Based on ROI by Using SIFT Feature Matching”,International Conference on MultiMedia and Information Technology,IEEE,2008.
[5]Ke Gao, Shouxun Lin, Yongdong Zhang, Sheng Tang, Huamin Ren,“Attention Model Based SIFT Keypoints Filtration for Image Retrieval”,Seventh IEEE/ACIS International Conference on Computer and Information Science,2008.
[6]Xuelong Hu, YingchengTang, Zhenghua Zhang, “Video Object Matching Based on SIFT Algorithm”,IEEE Int. Conference Neural Networks & Signal Processing, Zhenjiang,China, June 8~10, 2008.
[7]MehdyBohlool, SorooshRahimi Taghanaki,” Cost-efficient Automated Visual Inspection System for small manufacturing industries based on SIFT”IEEE, 2008.
[8]Jurandy Almeida, Ricardo da S. Torres and Siome Goldenstein “SIFT applied to CBIR”, J. Almeida, R. S. Torres and S. Goldenstein/ Revista de Sistemas de Informacao da FSMA n. 4 pp. 41-48, (2009).
[9]ZHI Li-jia, ZHANG Shao-min, ZHAO Da-zhe, ZHAO Hong, LIN Shu-kuan, ZHAO Da-zhe, ZHAO Hong ,“Medical Image Retrieval Using SIFT Feature”, 978-1-4244-4131-0/09/$25.00 ©2009 IEEE.
[10]Zhuozheng Wang, KebinJia, Pengyu Liu,“An Effective Web Content-based Image Retrieval Algorithm by Using SIFT Feature”,World Congress on Software Engineering,IEEE Computer Society, 2009.
[11]Zhuozheng Wang, Yalei Mei, Fang Yan,“A New Web Image Searching Engine by Using SIFT Algorithm”,International Conference on Web Information Systems and Mining,IEEE Computer Society,2009.
[12]ShaoLi HUANG, Cheng CAI*, Yang ZHANG,“Wood image retrieval using SIFT descriptor”,Science Foundation from The Northwest A&F University, China and the Students Research Fund from the Northwest A&F University, China,IEEE,2009.
[13]Bin Li, Xiangwei Kong, Zhe Wang, Haiyan Fu,“SIFT-based image retrieval combining the distance measure of global image and sub-image”,Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IEEE Computer Society,2009.
[14]Zhuozheng Wang1, Quanying Zheng2, Jingqi Sun “An Effective Content-based Web Image Searching Engine Algorithm”,Proceedings of the IEEE ICMIT, 2010.
[15]Masaki KOBAYASHI, Keisuke KAMEYAMA,“Partial Image Retrieval using SIFT based on Illumination Invariant Features”,MCIT,IEEE,2010.
[16]G.Kishore Kumar, G.V. Raghavendra Prasad, G. Mamatha,”Automatic Object Searching System Based On Real Time SIFT Algorithm”,ICCCCT,IEEE,2010.
[17]Xiaoli Yuan, Jing Yu, Zengchang Qin, and Tao Wan, “A SIFT-LBP IMAGE RETRIEVAL MODEL BASED ON BAG-OF-FEATURES”,18th IEEE Conference on Image Processing, 2011.
[18]Kadir A. Peker, “Binary SIFT: Fast Image Retrieval Using Binary Quantized SIFT Features“,CBMI,IEEE,2011.
[19]SHI Shuo, YU Ming,  XUE Cui-hong, and ZHOU Ying, ”The Application of SIFT Algorithm in Blind Road Environmental Image Matching”,Applied Mechanics and Material,Vols 155-156, pp 1137-1141,2012.
[20]Mamta Kamath, Disha Punjabi, Tejal Sabnis, Divya Upadhyay, Seema Shrawne,“Improving Content Based Image Retrieval using Scale Invariant Feature Transform”, International Journal of Engineering and Advanced Technology (IJEAT),ISSN: 2249 – 8958, Volume-1, Issue-5, June 2012.
[21]Jun Shi, Zhiguo Jiang, Hao Feng, Liguo Zhang,“SIFT-BASED ELASTIC SPARSE CODING FOR IMAGE RETRIEVAL”,ICIP , IEEE,2012.
[22]P.S.Suhasini, Dr. K.Sri Rama Krishna, Dr.I.V.Murali Krishna,“Combining SIFT and Invariant Color Histogram in HSV Space for Deformation and Viewpoint Invariant Image Retrieval”,International Conference on Computational Intelligence and Computing Research,IEEE,2012.
[23]Suraya Abu Bakar, Muhammad Suzuri Hitam, Wan Nural Jawahir Hj Wan Yussof,“Content-Based Image Retrieval using SIFT for Binary and Greyscale Images”,International Conference on Signal and Image Processing Applications (ICSIPA), IEEE, 2013.
[24]Han Xiao, Wenhao He, Kui Yuan and Feng Wen,“Real-time Scene Recognition on Embedded System with SIFT Keypoints and a New Descriptor”, International Conference on Mechatronics and Automation, IEEE, August 4-7, Takamatsu, Japan, 2013.
[25]RajannaBandaru, Dinesh Naik,“Retrieve the Similar Matching Images Using Reduced SIFT with CED Algorithm”,International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), IEEE, 2014.
[26]Dr.K.VELMURUGAN,“A Survey of Content-Based Image Retrieval Systems using Scale-Invariant Feature Transform (SIFT)”, International Journal of Advanced Research in Computer Science and Software Engineering,Volume 4, Issue 1, January 2014.
[27]Nawade Rajlaxmi1, Dr.Mrs.Lokhande S.S.,” Content Based Image Retrieval Using Spectral Feature Extraction Methods”, SSRG International Journal of Electronics and Communication Engineering (SSRG-IJECE) volume 2 Issue 4 April 2015.