Open Access   Article Go Back

A Review on CBIR with its Advantages and Disadvantages For Low-level Features

Dharmendra Pandey1 , Shivpratap Kushwah2

Section:Review Paper, Product Type: Journal Paper
Volume-4 , Issue-7 , Page no. 161-167, Jul-2016

Online published on Jul 31, 2016

Copyright © Dharmendra Pandey , Shivpratap Kushwah . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Dharmendra Pandey , Shivpratap Kushwah, “A Review on CBIR with its Advantages and Disadvantages For Low-level Features,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.7, pp.161-167, 2016.

MLA Style Citation: Dharmendra Pandey , Shivpratap Kushwah "A Review on CBIR with its Advantages and Disadvantages For Low-level Features." International Journal of Computer Sciences and Engineering 4.7 (2016): 161-167.

APA Style Citation: Dharmendra Pandey , Shivpratap Kushwah, (2016). A Review on CBIR with its Advantages and Disadvantages For Low-level Features. International Journal of Computer Sciences and Engineering, 4(7), 161-167.

BibTex Style Citation:
@article{Pandey_2016,
author = {Dharmendra Pandey , Shivpratap Kushwah},
title = {A Review on CBIR with its Advantages and Disadvantages For Low-level Features},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2016},
volume = {4},
Issue = {7},
month = {7},
year = {2016},
issn = {2347-2693},
pages = {161-167},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1019},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1019
TI - A Review on CBIR with its Advantages and Disadvantages For Low-level Features
T2 - International Journal of Computer Sciences and Engineering
AU - Dharmendra Pandey , Shivpratap Kushwah
PY - 2016
DA - 2016/07/31
PB - IJCSE, Indore, INDIA
SP - 161-167
IS - 7
VL - 4
SN - 2347-2693
ER -

VIEWS PDF XML
1572 1363 downloads 1416 downloads
  
  
           

Abstract

The requirement for development of CBIR is enhanced as a result of giant progress in volume of snap shots as good as the preferred software in a more than one fields.spatial layout, shape, colour, and texture are the special qualities to represent by the table of contents images. These peculiar points by snap shots are extracted and applied for a similarity assess among graphics.. The paper offers a overview on various approaches of content based photo retrieval (CBIR). CBIR is a process throught which different images are retrieved by a giant database collection. These databases are prepared using various visual features Like. spatial layout, shape, colour, and texture that are extracted making use of different techniques. As image database volume is increasing rapidly, researchers are looking to a better mechanism to retrieve images and to obtain more accurate results.

Key-Words / Index Term

Color,feature,txture,shape,CBIR

References

[1]. Kamlesh Kumar, Zain-ul-abidin, Jian-Ping Li and Riaz Ahmed Shaikh, “ Content Based Image Retrieval Using Gray Scale Weighted Average Method” Vol. 7, No. 1,IJACSA 1 January 2016
[2]. Manoharan Subramanian, and Sathappan Sathappan, “An Efficient Content Based Image Retrieval using Advanced Filter Approaches” Vol. 12, No. 3, May 2015
[3]. Gurmeet Kaur and Er. Arshdeep Singh “A Review Paper on Content Based Image Retrieval” Kaur et al., International Journal of Advanced Research in Computer Science and Software Engineering 5(4), pp. 1404-1406, April- 2015,
[4]. Ekta Gupta and Rajendra Singh Kushwah, “ Combination of Local, Global and k-mean using Wavelet Transform for Content Base Image Retrieval” International Volume 116 – No. 14, April 2015
[5]. Nishu and Navdeep Kaur, “A Literature Survey of Facial Recognition of Identical Twins” Vol. 4, Issue 3, March 2015
[6]. Mohammed Alkhawlani and Mohammed Elmogy, “ Text-based, Content-based, and Semantic-based Image Retrievals: A Survey” Volume 04 – Issue 01, January 2015
[7]. Kavita Chauhan and Shanu Sharma, “A Review on Feature Extraction Techniques for CBIR System” Accepted 31- July - 2015 Article ID ICIEMS018 eAID ICIEMS.2015.018 Received 10 - July - 2015
[8]. L. Haldurai, V. Vinodhini, “A Study on Content Based Image Retrieval Systems” International Journal of Innovative Research in Computer and Communication Engineering -2015.
[9]. Ekta Gupta and Rajendra Singh Kushwah’’Combination of Local, Global and k-mean using Wavelet Transform for Content Base Image Retrieval’’ International Journal of Computer Applications (0975 – 8887) Volume 116 – No. 14, April 2015
[10]. Aditi Giri and Yogesh Kumar Meena, “content based image retrieval using integration of color and texture features” (IJARCET) l 2014.
[11]. Aditi Giri and Yogesh Kumar Meena “Content based image retrieval using integration of color and texture features” International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 3 Issue 4, April 2014.
[12]. Vijaylakshmi Sajwan” Content Based Image Retrieval Using Combined Features (Color and Texture)” Volume No.3, Issue No.4, pp : 271-273 Volume No.3, Issue No.4, pp : 271-273 01 , April 2014.
[13]. Yogita Mistry and Dr.D.T. Ingole, “Survey on Content Based Image Retrieval Systems”. International Journal of Innovative Research in Computer and Communication Engineering 2013
[14]. Ms. K. Arthi and Mr. J. Vijayaraghavan, “Content Based Image Retrieval Algorithm Using Colour Models” International Journal of Advanced Research in Computer and Communication Engineering 2013
[15]. S.Meenachi Sundaresan, Dr. K.G.Srinivasagan, “Design of Image Retrieval Efficacy System Based on CBIR”., , IJARCSSE 2013
[16].
[17]. R.Malini1andC.Vasanthanayaki “An Enhanced Content Based Image Retrieval System using Color Features” Volume 2 Issue 12 Dec,2013.
[18]. Reshma Chaudhari and A. M. Patil, “Content Based Image Retrieval Using Color and Shape Features”
[19]. . IJAREEIE-2012
[20]. Suchismita Das, Shruti Garg and G. Sahoo “Comparison of Content Based Image Retrieval Systems Using Wavelet and Curvelet Transform” The International Journal of Multimedia & Its Applications (IJMA) Vol.4, No.4, August 2012.
[21]. S. Mangijao Singh and K. Hemachandran “Content-Based Image Retrieval using Color Moment and Gabor Texture Feature” IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 5, No 1, September 2012.
[22]. Reshma Chaudhari and A. M. Patil” Content Based Image Retrieval Using Color and Shape Features” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 1, Issue 5, November 2012.
[23]. Bansal M., Gurpreet K., and Maninder K., “Content-Based Image Retrieval Based on Color,” International Journal of Computer Science and Technology, vol. 3, no. 1, pp. 295-297, 2012.
[24]. Wasim Khan, Shiv Kumar. Neetesh Gupta and Nilofar Khan, “A Proposed Method for Image Retrieval using Histogram values and Texture Descriptor Analysis”. , ,IJSCE 2011
[25]. Gulfishan Firdose Ahmed and Raju Barskar” A Study on Different Image Retrieval Techniques in Image Processing” International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-1, Issue-4, September 2011.
[26]. Mrs Monika Jain and Dr. S.K.Singh “A Survey On: Content Based Image Retrieval Systems Using Clustering Techniques For Large Data sets” International Journal of Managing Information Technology (IJMIT) Vol.3, No.4, November 2011.