Research of Image Retrieval Based on Block Truncation Coding
Yongkang Xing · Microprocessors · 2010
This paper proposed a novel image retrieval method based on block truncation coding(BTC),Firstly,the image is partitioned into nonoverlap blocks of certain size.BTC is generated for each block independently,which can efficiently describe the image texture information,spatial distribution and shape feature.On the basis of this,the texture primitive is defined. Then,an imp-roved cooccurrence matrix based on the texture primitive is developed to extract the texture and shape features for the image retrieval.Experimental results have shown that the proposed algorit-hm is more effective than the traditional methods:GLCM and CCM.