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Content-Based Image Retrieval Using Hierarchical Color and Texture Similarity Calculation

Journal: International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE) (Vol.7, No. 2)

Publication Date:

Authors : ; ;

Page : 11-16

Keywords : Content-based image retrieval; feature extraction; color; texture; local binary pattern.;

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With the evolution of multimedia technology, the usage of large image database has rapidly increased. Content-based image retrieval has come up as an effective method for image retrieval and management. The use of a single image feature for image retrieval gives unsatisfactory results, therefore the usage of multiple image features is more often preferred. This paper introduces a novel method that combines both color and texture features of an image for image retrieval in a hierarchical manner and shows its advantage. This paper also introduces an effective method of image segmentation for feature extraction. The proposed hierarchical approach was applied to the standard INRIA dataset. A significant improvement in the recall and precision is achieved and is shown in the result section.

Last modified: 2018-05-10 16:37:38