Abstrato

An Innovative Technique for Content Based Image Retrieval Using Color and Texture Features

K.Valli Madhavi, R.Tamilkodi, R.Bala Dinakar, K.JayaSudha

The revolutionary internet and digital technologies have imposed a need to have a system to organize abundantly available digital images for easy categorization and retrieval. We determine relative importance of hue and intensity based on the saturation of an image with respect to the visual properties of the human eye. We effectively apply this method to the generation of a color histogram and use it for content based image retrieval applications. This paper presents the content based image retrieval using features like color and texture. The texture and color features are extracted through wavelet transformation and color histogram and the combination of these features is robust to scaling and translation of objects in an image. The experimental results show that this method is more efficient than the traditional CBIR method based on the single visual feature and other methods combining color and texture.