Image Retrieval Based on Structure Quantification Histogram
Jin Lian-fang, Tuanfa Qin, Haixia Wang, Shuai Qin · 2006
Although color structure descriptor contains the structural information of color,it is crude for processing the color contents of the 8×8 structural elements to distinguish two different pictures with the same color structure histogram.In this paper,a method for image retrieval based on structure quantification histogram is presented.The color structure histogram is one specific case of structure quantification histogram,which is endowed an extreme quantification step as 1.While the color histogram is the other one of structure quantification histogram,which is endowed an extreme quantification step as 0.The performances of the three types of histogram are discussed through average retrieval rate(R_(ARR)) and average normalized modified retrieval rank(G_(ANMRR)) including 2 600 flower pictures with different quantification dimensions(32,64,128,256)in HMMD color space.The results show that the performance of structure quantification histogram of step size 0.5 is the best.Evaluation criterion used in MPEG-7 is introduced in detail and is used to evaluate the experimental results.