Wavelet-Based Color Histogram on Content-Based Image Retrieval

Abstract

The growth of image databases in many domains, including fashion, biometric, graphic design, architecture, etc. has increased rapidly. Content Based Image Retrieval System (CBIR) is a technique used for finding relevant images from those huge and unannotated image databases based on low-level features of the query images. In this study, an attempt to employ 2 nd level Wavelet Based Color Histogram (WBCH) on a CBIR system is proposed. Image database used in this study are taken from Wang's image database containing 1000 color images. The experiment results show that 2 nd level WBCH gives better precision (0.777) than the other methods, including 1 st level WBCH, Color Histogram, Color Co-occurrence Matrix, and Wavelet texture feature. It can be concluded that the 2 nd Level of WBCH can be applied to CBIR system.