New Approach for Content based Image Retrieval System using Texture and Color Features | Zendy

Alka Choudhary | Zendy; Assistant Professor | Zendy

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New Approach for Content based Image Retrieval System using Texture and Color Features

Author(s) -

Alka Choudhary,

Assistant Professor

Publication year - 2018

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2018916553

Subject(s) - computer science , content based image retrieval , texture (cosmology) , information retrieval , content (measure theory) , image retrieval , artificial intelligence , image (mathematics) , computer vision , mathematics , mathematical analysis

Now-a-days Content based Image Retrieval (CBIR) techniques are in great demand in every field. In this paper a new approach is proposed for retrieving images. Color Features is extracted from HSV image using color histogram. The texture feature gets extracted from the RGB image by applying GLDM technique. Feature vectors of query image and database image are compared using similarity measures. After comparisons distance vectors are added to get a resultant vector. The images are ranked according to the resultant vector and retrieved. This approach is implemented using MATLAB8.0. The results and conclusions are shown in the paper.

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