Novel image retrieval algorithm based on BTC
Zhou Li-hua · Guangdian gongcheng · 2007
A novel image retrieval method based on Block Truncation Coding (BTC) was proposed. Firstly, the image was divided into non-overlapped and equally-sized blocks, and these blocks were coded by the method of BTC. Then, the keyblocks of image were defined according to the human visual feature and the color difference between pixels in the image blocks. At the same time, the different importance of each keyblock in describing the image was taken into account, and the weighted function was introduced. Finally, the technologies in Text Information Retrieval (TIR) were applied in Content-based Image Retrieval (CBIR). Experimental results show that the proposed method has reasonable and robust retrieval performance and is more effective in the image retrieval than the other algorithms discussed in the paper.