Design of Feature Extraction in Content Based Image Retrieval (CBIR) using Color and Texture | Zendy

Swati Vinod Sakhare | Zendy; Vrushali G. Nasre | Zendy

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Design of Feature Extraction in Content Based Image Retrieval (CBIR) using Color and Texture

Author(s) -

Swati Vinod Sakhare,

Vrushali G. Nasre

Publication year - 2012

Publication title -

international journal of computer science and informatics

Language(s) - English

Resource type - Journals

ISSN - 2231-5292

DOI - 10.47893/ijcsi.2012.1029

Subject(s) - computer science , content based image retrieval , artificial intelligence , image texture , image retrieval , color histogram , pattern recognition (psychology) , histogram , texture (cosmology) , computer vision , feature extraction , feature (linguistics) , histogram equalization , set (abstract data type) , image (mathematics) , color image , image processing , linguistics , philosophy , programming language

Retrieval of images based on visual features such as color, texture and shape have proven to have its own set of limitations under different conditions. Various techniques have been implemented using these features like fuzzy color histogram, Tammura texture etc. In this paper we propose a novel method with highly accurate and retrieval efficient approach which will work on large image database with varied contents and background.

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