CONTENT BASED IMAGE RETRIVAL USING FRACTAL SIGNATURE ANALYSIS
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 3
Abstract
Content-based image retrieval has become a reliable tool for digital image applications, especially for image retrieval purposes. There are several advantages of the image retrieval techniques compared to other simple retrieval approaches such as text-based retrieval techniques. This paper proposes an offline Content-based image retrieval system implemented using “Fractal Signature Analysis” and “Foreground Feature Extraction”. The image containing the object in an appropriate background is pre-processed, and the foreground object is extracted. A unique fractal signature is developed for each one of the RGB color component, which is used to retrieve images saved on a local computer by giving a query image to the system. The system is suitable for retrieving query images even in distortion cases such as noise.
Authors and Affiliations
K. KArunRaja , T. Sabhanayagam
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