Image Retrieval Based on Content Using Color Feature | Zendy

Ahmed J. Afifi | Zendy; Wesam M. Ashour | Zendy

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Image Retrieval Based on Content Using Color Feature

Author(s) -

Ahmed J. Afifi,

Wesam M. Ashour

Publication year - 2012

Publication title -

isrn computer graphics

Language(s) - English

Resource type - Journals

ISSN - 2090-7869

DOI - 10.5402/2012/248285

Subject(s) - content based image retrieval , artificial intelligence , computer science , image retrieval , pattern recognition (psychology) , feature (linguistics) , preprocessor , visual word , computer vision , cluster analysis , image (mathematics) , linguistics , philosophy

Content-based image retrieval from large resources has become an area of wide interest in many applications. In this paper we present a CBIR system that uses Ranklet Transform and the color feature as a visual feature to represent the images. Ranklet Transform is proposed as a preprocessing step to make the image invariant to rotation and any image enhancement operations. To speed up the retrieval time, images are clustered according to their features using k-means clustering algorithm.

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