COLOR AND TEXTURE BASED IMAGE RETRIEVAL: A PROPOSED METHOD

Avneet Kaur, Vijay Kumar Banga, Navkirat Kaur

Abstract: Content-based image retrieval (CBIR) is an vital research area for manipulating bulky image databases and records. Alongside the conventional method where the images are searched on the basis of words, CBIR system uses visual contents to retrieve the images. In content based image retrieval systems texture and color features have been the primal descriptors. We use HSV color information and mean of the image as texture information. The performance of proposed scheme is calculated on the basis of precision, recall and accuracy. As an effect, the blend of color and texture features of the image provides strong feature set for image retrieval.

Keywords: image retrieval, HSV color space, color histogram, image texture.

DOI: https://doi.org/10.15623/ijret.2013.0211074