International Journal of Image Processing and Vision Science IJIPVS

ISSN: 2278-1110

ijcct journal

Abstracting and Indexing

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IIMT Bhubaneswar

IJIPVS

CBIR SYSTEM USING COLOR HISTOGRAM AND WAVELET CBIR SYSTEM USING COLOR HISTOGRAM AND WAVELET TRANSFORM FOR BLOOD CELLS IMAGES


C Rubina
Jawaharlal Nehru Technological University, Anantapur,

Mr.S. Dasu
Jawaharlal Nehru Technology University, Anantapur,


Abstract

The research in Content-based image retrieval is developing rapidly. It benefits many other fields, in particular the medical field as the need of having a better way of managing andretrieving digital images has increased.The aim of the thesis is to investigate performance of descriptors of blood cell image retrieval. In this process traditional wavelet based and global color histogram is investigated. The prototype system allows user to search by providing a query image and selecting one of four implemented methods. Research goal is enhancing current content-based image retrieval techniques. Results were obtained by experimenting to this proposed method is able to perform clinically relevant queries on image databases without user supervision.

Recommended Citation

1] F. H. Long, H. J. Zhang and D. D. Feng, "Fundamentals of content based image retrieval," in Multimedia Information Retrieval and Management – Technological Fundamentals and Applications, 2003, pp. 1-26. [2] A. Irfan, P.S., Hailiza Kamarulhaili, Automated Contentbased Image Retrieval using Wavelets, in International Conference on Computational Intelligence 2004. p. 290 –293. [3] Sheikh H., B.Z., Micheli-Tzanakou E. . Blood cell identification using neural networks. in Bioengineering Conference. 1996: IEEE Twenty Second Annual Northeast. [4] Jeong, S. Histogram Based Image Retrieval,. 2001[cited 10 paril 2007]; Available from: http://scien.stanford.edu/class/psych221/projects/02/sojeong/Last. [5] Siddique, S., A Wavelet Based Technique for Analysis and Classification of Texture Images. 2002, Carleton University:ottawa. [6] M. J. Swain, D.H.B., Color indexing. InternationalJournal of Computer Vision, 1991. 7(1): p. 22. [7] Rong Zhao , W.I.G., Bridging the semanitic gap in imageretrieval. Distributed multimedia databases: techniques & applications T. K. Shih (Ed.), Idea Group Publishing, Hershey , Pennsylvania, 2001: p. 23. [8] H. Wei, C.-T.L., R. Wilson, A content-based approach tomedical image database retrieval. Database Modeling for Industrial data Management: Emerging Technologies and Applications, Idea Group Publishing: Hershey, PA, USA, 2006: p. 34. 

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