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An Efficient Color Method for Retrieving Color-based Images

Vinodha H N, Geetha N.B, Mohamed Rafi

Abstract


Image retrieval plays a vital role in many of the areas. CBIR is content-based image retrieval for browsing images from a large dataset. Image retrieval is used in many of the applications such as image processing, pattern recognition, military, medical fields and forensic fields. In the proposed image retrieval method, color method is used to extract the features and retrieve similar images based on similarity of features. In the color method, HSV color histogram method is used to extract the color features. After extracting, the features are compared with the database images and distance is calculated using the Euclidian distance method. Finally similar images are retrieved according to the user satisfaction. Performance of the system is calculated using the processing time, execution time, precision and recall rate metrics.

Keywords: CBIR (content based image retrieval), color-HSV, processing time,
execution time, recall, precision


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References


Krist´ına Lidayov´a, Elena ˇ Sikudov´a. Semantic categorization and retrieval of natural scene images. Proceedings of CESCG 2012: The 16th Central European Seminar on Computer Graphics.

Sharma Neetu, Rawat Paresh, Singh Jaikaran. Efficient CBIR using color histogram processing. Signal & Image Processing: An International Journal (SIPIJ). March 2011; 2(1).

Janarthanam S, ThiagarasV, Somas-undram K. Image Processing (NCIMP 2010).

Jisha KP, Thusnavis Bella Mary, Vasuki A. International Conference on Signal Processing, Image Processing and Pattern Recognition. 2013 [ICSIPRl, 978-1-4673-4862-1/13/$31.00 ©2013 IEEE.

Sandhu Amanbir, Kochhar Aarti. Content based image retrieval using texture, color and shape for image analysis. International Journal of Computers. Aug, 2012; 3(1): ISSN: 2277-3061.


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