Performance Evaluation of Error Diffusion Block Truncation Coding Feature for Color Image Retrieval
Jing-Ming Guo, Heri Prasetyo · Gate to Computer Science and Research · 2015
This chapter presents a performance comparison of the Error Diffusion Block Truncation Coding (EDBTC) feature for color image retrieval and classification.In these approaches, the image retrieval and classification employ the feature descriptor derived from the EDBTC compressed data stream.Firstly, a color image is decomposed using EDBTC scheme to produce two new image representations, namely color quantizer and bitmap image.Two image feature descriptors, called Color Histogram Feature (CHF) and Bit Pattern Histogram Feature (BHF), can be subsequently generated from the EDBTC color quantizer and its corresponding bitmap image, respectively, without performing the decoding process.The similarity degree between two images is simply measured with the similarity distance score of their feature descriptor.In this chapter, the effectiveness of EDBTC feature descriptor is quantitatively examined and compared in the RGB color space as well as in YCbCr color channel.As reported in experimental result, the proposed method outperforms the former existing schemes in