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Content based Image Retrieval based on Cumulative Distribution Function – A Performance Evaluation

by Harishchandra Hebbar, Niranjan U. C, Sumanth Mushigeri
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 18
Year of Publication: 2013
Authors: Harishchandra Hebbar, Niranjan U. C, Sumanth Mushigeri
10.5120/14223-2369

Harishchandra Hebbar, Niranjan U. C, Sumanth Mushigeri . Content based Image Retrieval based on Cumulative Distribution Function – A Performance Evaluation. International Journal of Computer Applications. 81, 18 ( November 2013), 16-22. DOI=10.5120/14223-2369

@article{ 10.5120/14223-2369,
author = { Harishchandra Hebbar, Niranjan U. C, Sumanth Mushigeri },
title = { Content based Image Retrieval based on Cumulative Distribution Function – A Performance Evaluation },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 18 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 16-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number18/14223-2369/ },
doi = { 10.5120/14223-2369 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:56:24.219187+05:30
%A Harishchandra Hebbar
%A Niranjan U. C
%A Sumanth Mushigeri
%T Content based Image Retrieval based on Cumulative Distribution Function – A Performance Evaluation
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 18
%P 16-22
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Content Based Image Retrieval (CBIR) is very much sought after field in the area image retrieval. CBIR finds applications in areas such as web searching, crime detection, military, intellectual property and medical diagnosis. With the advancement of medical imaging modalities, focus on the diagnosis has shifted from physician centric to hospital based diagnosis where, image analysis & interpretation is the key factor in diagnosis. With the image acquisition becoming digital there is greater need to interpret the medical images in quick and accurate manner. In this paper an image matching technique based on Cumulative distribution Function (CDF) for retrieving the medical images from the database is discussed. This method can provide considerable reduction in the image retrieval time while providing flexibility to the physician. The physician can select suitable number of CDF line segments for comparison and the percentage of CDF threshold as desired by him there by providing control in terms of Precision (P) and retrieval time (Tr).

References
  1. S. K. Chang, T Kunii, Pictorial database applications, IEEE Comput. 14 (11), 1981, 13-21.
  2. Ritendra Datta, Dhiraj Joshi, Jia Li and James. Z. Wang, Image Retrieval: Ideas, Influences and Trends of the New Age, ACM Computing Surveys, Vol 40, No. 2, Article 5, April 2008.
  3. Ying Liu, Dengsheng Zhang, Guojun Lu. Region-based image retrieval with high-level semantics using decision tree learning. Pattern Recognition 41, pp. 2554 – 2570, 2008.
  4. H. B. Kekre, Dhirendra Mishra, Anirudh Kariwala. A Survey of CBIR Techniques and Semantics. International Journal of Engineering Science and Technology (IJEST), Vol. 3, No. 5, PP. 4510-4517, 2011.
  5. Deselaers T, Keysers D, Ney H. Features for image retrieval: an experimental comparison. Inf. Retrieval. 11(2), pp. 77–107, 2007.
  6. Lining Zhang, Lipo Wang and Weisi Lin. Generalized Biased Discriminant Analysis for Content-Based Image Retrieval. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics, Vol. 42, No. 1, pp. 282-290, 2012.
  7. Rahman M. H. , Pickering M. R. , Frater M. R. Scale and Rotation Invariant Gabor Features for Texture Retrieval. IEEE International Conference on Digital Image Computing Techniques and Applications (DICTA), pp. 602-607, 2011.
  8. Saptadi Nugroho and Darmawan Utomo. Rotation Invariant Indexing For Image Using Zernike Moments and R–Tree. TELKOMNIKA, Vol. 9, No. 2, pp. 335-340, 2011.
  9. Felci Rajam I. and Valli S. SRBIR: semantic region based image retrieval by extracting the dominant region and semantic learning. Journal of Computer Science, Vol. 7, No. 3, pp. 400–408, 2011a.
  10. Wang Xing-Yuan, ChenZhi-feng, YunJiao-jiao. An effective method for color image retrieval based on texture. Computer Standards & Interfaces 34, pp. 31–35, 2012.
  11. Henning Muller, Nicolas Michoux, David Bandon, Antoine Geissbuhler. A review of content based image retrieval systems in medical applications – Clinical benefits and future directions. International Journal on Medical Informatics (2004) 73, 1-23.
  12. Manjunath K N, Niranjan U C. Proceedings of the 2005 IEEE. Engineering in Medicine and Biology, 27th Annual Conference, Shanghai, China, September 1-4, 2005
  13. Suyog Dutt Jain, Harishchandra Hebbar, K N Manjunath, U. C. Niranjan. Large Scale Distributed Frame work for Remote Clinical Diagnosis with Visual Query Support. Distributed Diagnosis and Home Healthcare, Pages: 1-16. ISBN: 1-58883 – 158 -2.
  14. K. N. Manjunath, A Renuka, U. C. Niranjan. Linear Models of Cumulative Distribution Function for Content –based Medical Image Retrieval. Journal of Medical Systems (2007) 31:433-443.
  15. Ceyhun Burak Akgul, Daniel L Rubin, Sandy Napel, Christopher F Beaulieu, Hayit Greenspan, Burak Acar. Journal of Digital Imaging, 08 April 2010,Published online
Index Terms

Computer Science
Information Sciences

Keywords

Cumulative Distribution Function Precision Recall Retrieval time Hierarchical Cumulative Distribution Function

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