Features Composition for Proficient and Real Time Retrieval in Content Based Image Retrieval System

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Showing Abstract of Features Composition for Proficient and Real Time Retrieval in Content Based Image Retrieval System

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Title	Features Composition for Proficient and Real Time Retrieval in Content Based Image Retrieval System
Topic:		Published Year:	1389
Presentation:		Published in:	[ 6th Iranian Conference on Machine Vision and Image Processing ]
Original Language:	English	Full Text Size:	Not Available

Abstract of the Article

Note: English CIVILICA is in its Trial Period so Full Texts can not be provided! Persian users can download it here

Features Composition for Proficient and Real Time Retrieval in Content Based Image Retrieval System

Authors:

[ Majid Fakheri ] - Department of Electrical Engineering, Urmia University, Urmia, Iran
[ Tohid Sedghi ] -
[ Mehdi C. Amirani ] -

Abstract:

Content-Based Image Retrieval (CBIR) systems employ colour as primary feature with texture and shape as secondary features. Very few systems exploit spatial features. None of the available systems combines all three visual features, texture, shape and location, for organization and retrieval. In this paper a simple, image retrieval system is presented. The proposed system uses weighted combination of integrated texture features, shape features of texture regions.

Keywords:

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