Multilevel haar wavelet transform and histogram based relevant image retrieval system

This paper presents the relevant image retrieval system, using feature like color and texture, called Multilevel Haar Wavelet Transform and Color Histogram based Relevant Image Retrieval. The texture feature is extracted through multilevel haar wavelet transformation and the color feature is extracted through the color histogram and 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.