Multilevel Haar Wavelet Transform and Histogram Usage in Content Based Image Retrieval System

In this paper the content based image retrieval system, using hybrid approach of features such as Texture and Color is presented. The color feature is extracted through Color Histogram and texture is extracted using Haar Wavelet Transformation. The combination of these features is robust to scaling and translation of objects in an image. The proposed system has demonstrated a promising and faster retrieval method on an image database containing general-purpose color images. The performance has been evaluated by comparing with the existing systems in the literature. The expansion of content based image retrieval technique can be found in a number of different domains. Content Based Image Retrieval is putting into practice for the image retrieval problem that is the problem of searching for digital images in large databases.