Manuscript Number : CSEIT11833509

Content Based Image Retrieval using RGB to HSV conversion

Authors(3) :-Dweep Chand Doimari, Saif Khusro, Sanu Anand

Dynamic Content based picture recovery framework is an essential piece of master class be like venture specialists, columnists and workmanship students of history. This paper considers the inferior measure features of images which is equated to the top-level measure features and it considers the higher level of information retrieved from the CBIR. The put-forward system develops an efficient CBIR system to search for an image in a dataset by using RGB color model and convert it to hue saturation value for comparison.

Authors and Affiliations

Dweep Chand Doimari
Department of Computer Science, Pondicherry University, Kalapet, Puducherry, India
Saif Khusro
Department of Computer Science, Pondicherry University, Kalapet, Puducherry, India
Sanu Anand
Department of Computer Science, Pondicherry University, Kalapet, Puducherry, India

CBIR, RGB, HSV, MATLAB, Image retrieval

  1. Durai Raj, P. S. J., & Jiji, G. W. (2015). Content-based image retrieval in dermatology using intelligent technique. IET Image Processing, 9(4), 306–317. https://doi.org/10.1049/iet-ipr.2013.0501
  2. Guo, J., Member, S., & Prasetyo, H. (2014). ContentBased Image Retrieval Using Features Extracted From Halftoning - Based Block Truncation Coding, 7149(c), 1010–1024. https://doi.org/10.1109/TIP.2014.2372619
  3. Mohamadzadeh, S., & Farsi, H. (2016). Content-based image retrieval system via sparse representation. IET Computer Vision, 10(1), 95–102. https://doi.org/10.1049/iet-cvi.2015.0165
  4. Ramos, J., Kockelkorn, T. T. J. P., Ramos, I., Ramos, R., Grutters, J., Viergever, M. A., … Campilho, A. (2016). Content-Based Image Retrieval by Metric Learning From Radiology Reports: Application to Interstitial Lung Diseases. IEEE Journal of Biomedical and Health Informatics, 20(1), 281–292. https://doi.org/10.1109/JBHI.2014.2375491
  5. Xu, B., Bu, J., Chen, C., Wang, C., Cai, D., & He, X. (2015). EMR: A scalable graph-based ranking model for content-based image retrieval. IEEE Transactions on Knowledge and Data Engineering, 27(1), 102–114. https://doi.org/10.1109/TKDE.2013.70
  6. Hossein Pourghassem and Hassan Ghassemian. Content-based medical image classification using a new hierarchical merging scheme. Computerized Medical Imaging and Graphics, 32(8):651–661, 2008.
  7. Binatha, C. (2016). Hue Saturation Value ( HSV ) Color Space for Content based Image Retrieval, 5(4), 119–123.
  8. Xu-Bo Zhang and Jin-Ye Peng. Re-ranking algorithm using clustering and relevance feedback for image retrieval. In Educational and Network Technology (ICENT), 2010 International Conference on, pages 237–239. IEEE, 2010.
  9. Xia, Z., Wang, X., Zhang, L., Qin, Z., Sun, X., & Ren, K. (2016). A Privacy-Preserving and Copy-Deterrence Content-Based Image Retrieval Scheme in Cloud Computing. IEEE Transactions on Information Forensics and Security, 11(11), 2594–2608. https://doi.org/10.1109/TIFS.2016.2590944
  10. Hossein Pourghassem and Hassan Ghassemian. Content-based medical image classification using a new hierarchical merging scheme. Computerized Medical Imaging and Graphics, 32(8):651–661, 2008.

Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1341-1347
Manuscript Number : CSEIT11833509
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dweep Chand Doimari, Saif Khusro, Sanu Anand, "Content Based Image Retrieval using RGB to HSV conversion", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1341-1347, March-April-2018. |          | BibTeX | RIS | CSV

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