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

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 utiliz...