Various Approaches of Content Based Image Retrieval Process: A Review

Authors(1) :-Gagan Madaan

Content based image retrieval system is the sub branch of digital image processing. CBIR has been widely used in various applications of image processing. In this process relevant images have been retrieved from the huge datasets. CBIR has utilization in colour image processing and medical imaging. In this paper various approaches have been discussed that has been used for extraction of relevant images from the dataset based on query image, query image content that may be texture, shape or colour has been extracted and Matched with dataset image features. On the basis of this content, images have been extracted so that image that contains similar features can be easily extracted from the dataset. In medical field BIR helps to extract various images that contain various substance or material stucks in the human body.

Authors and Affiliations

Gagan Madaan
Assistant Professor, Department of Computer Science & Applications, S.U.S. Panjab University Constituent College Guru Harsahai, Punjab, India

CBIR, KNN, Fuzzy SURF and Semantic

  1. Bing Wang;Xin Zhang; Ziao-Yan Zhao; Zhi-De Zhang, “A semantic description for content-based image retrieval”, IEEE conference on Machine Learning and Cybernetics, 2008, pp. 2466 - 2469.
  2. C. Carson, M. Thomas, S. Belongie et al, “Blobworld: A system for region-based image indexing and retrieval,” In Third International Conference on Visual Information Systems, Springer, 1999.
  3. C. R. Shyu, C. E. Brodley, A. C. Kak, “Assert: A physician-in-the-loop content-based retrieval system for hrct image databases,” Computer Vision and Image Understanding, vol. 75, no. 12, pp. 111-132, 1999.
  4. C. W. Niblack, R. Barber, “QBIC project: querying images by content, using color, texture, and shape”, vol. 1908, pp. 173-187, SPIE, 1993.
  5. Choudhary, R. , Raina, N. , Chaudhary, N. ,Chauhan, R “An integrated approach to Content Based Image Retrieval”, in International Conference 2014 on Advances in Computing, Communications and Informatics, IEEE, ISBN No. 978-1-4799-3078-4, pp. 2404 - 2410.
  6. Dewen Zhuang;Shoujue Wang “Content-Based Image Retrieval Based on Integrating Region Segmentation and Relevance Feedback” IEEE conference on Multimedia Technology (ICMT), 2010, pp. 1 - 3.
  7. Dharani, T, Aroquiaraj, I.L. “A survey on content based image retrieval” in International Conference 2013 on Pattern Recognition, Informatics and Mobile Engineering (PRIME), ISBN No. 978-1-4673-5843-9, pp. 485 - 490.
  8. Hiwale, S.S.; Dhotre, D. “Content-based image retrieval: Concept and current practices” IEEE conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015, pp.1 - 6.
  9. J. Z. Wang, J. Li, G. Wiederhold, “SIMPLICITY: Semantics-sensitive integrated matching for picture libraries,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 9, pp. 947-963, 2001.
  10.  Jyothi, B.; MadhaveeLatha, Y.; Krishna Mohan, P.G. “An effective multiple visual features for Content Based Medical Image Retrieval,” IEEE conference on Intelligent Systems and Control (ISCO), 2015, pp. 1 - 5
  11. Kavitha, N. Jeyanthi, P., “Exemplary Content Based Image Retrieval using visual contents & genetic approach” IEEE conference on Communications and Signal Processing (ICCSP), 2015, pp. 1378 - 1384
  12. Khodaskar, A. A.; Ladhake, S. A., “A novel approach for content based image retrieval in context of combination S C techniques” IEEE conference on Computer Communication and Informatics (ICCCI), 2015, pp. 1 - 6

Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 711-716
Manuscript Number : CSEIT1831203
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Gagan Madaan, "Various Approaches of Content Based Image Retrieval Process: A Review", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.711-716, January-February-2018. |          | BibTeX | RIS | CSV

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