A Review on Content Based Image Retrieval using Spatial Domain Based Features

Abstract

Content based image retrieval is the process which follows the searching of similar images from the database, based on visual content. The RGB color model algorithm used in the present work is not sufficient for better color description. Therefore in this paper HMMD (Hue Min Max Difference) color space, is can be used in order to efficiently describe the colors in an image. The hue has the same and minimum among the R, G, and B values, respectively. The diff component is defined as the difference between the max and the min. Only three of the four components are sufficient to describe the HMMD space. It is observed that the HMMD color space is very effective and compared favorably with the HSV color space, in the CBIR core experiments for image retrieval.