Content-based Image Retrieval using Conflation of Wavelet Transformation and CIECAM02 Color Histogram

Abstract

In this paper, a novel image retrieval technique based on the combination of Haar wavelet transformation and CIECAM02 color histogram (CH) have been proposed. In color based image retrieval, color histogram is one of the most repeatedly used image features and it is used at a great extent in content-based image retrieval (CBIR) systems as a significant color feature. The color histogram unchanged by translation and rotation. The local characteristics and texture features of an image are extracted by wavelet transformation. On conflation of wavelet transformation and color histogram new algorithm has been proposed. One may select a query image perceived to be similar to the visualized target image. A set of images similar to the query is then returned from the database. The final experimental results show that the proposed technique gives better performance than the other schemes, in terms of retrieval time. General TermsImage retrieval, color extraction methods and texture extraction methods. KeywordsColor Histogram, Haar wavelet Transformation, Content-based image retrieval (CBIR), Color histogram, CIECAM02.