The method for image retrieval based on multi-factors correlation utilizing block truncation coding

• Published in: Pattern recognition Vol. 47; no. 10; pp. 3293 - 3303
• Main Authors: Wang, Xingyuan, Wang, Zongyu
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.10.2014; Elsevier
• Subjects: Applied sciences; Block truncation coding; Blocking; Coding; Coding, codes; Color; Content based image retrieval; Correlation; Exact sciences and technology; Gradient direction correlation; Gradient value correlation; Image processing; Information theory; Information, signal and communications theory; Mathematical analysis; Multi-factors correlation; Retrieval; Signal and communications theory; Signal processing; Structure element correlation; Telecommunications and information theory; Vectors (mathematics); Content based image retrieval; Multi-factors correlation; Block truncation coding; Gradient value correlation; Structure element correlation; Gradient direction correlation; Performance evaluation; Block code; Content based retrieval; Image retrieval; Information retrieval; Color image; Image method; Biochemical fuel cell; Color space
• ISSN: 0031-3203; 1873-5142
• DOI: 10.1016/j.patcog.2014.04.020

In this paper, we proposed multi-factors correlation (MFC) to describe the image, structure element correlation (SEC), gradient value correlation (GVC) and gradient direction correlation (GDC). At first, the RGB color space image is converted to a bitmap image and a mean color component image utilizing the block truncation coding (BTC). Then, three correlations will be used to extract the image feature. The structure elements can effectively represent the bitmap which is generated by BTC, and SEC can effectively denote the bitmap׳s structure and the correlation of the block in the bitmap. GVC and GDC can effectively denote the gradient relation, which is computed by a mean color component image. Formed by SEC, GVC and GDC, the image feature vectors can effectively represent the image. In the end, the results demonstrate that the method has better performance than other image retrieval methods in the experiment. •Multi-factors correlation (MFC) is used to describe the image.•We utilize the block truncation coding to convert the color image to bitmap.•Structure elements are used to represent the bitmap.•Gradient value correlation is used to denote the gradient relation.•Gradient direction correlation is used to denote the gradient relation.