ContentBased Image Retrieval Research.pdfVIP

Available online at Available online at Physics Procedia 00 (2010) 000–000 Physics Procedia 22 (2011) 471 – 477 /locate/procedia 2011 International Conference on Physics Science and Technology (ICPST 2011) Content-Based Image Retrieval Research a a a Guoyong Duan , Jing Yang , Yilong Yang a Department of Computer Science and Information, Guizhou University, Guiyang, 550025, China Abstract With the development of multimedia technology, the rapid increasing usage of large image database becomes possible. To carry out its management and retrieval, Content-Based Image Retrieval (CBIR) is an effective method. This paper shows the advantage of content-based image retrieval system, as well as key technologies. Compare to the shortcoming that only certain one feature is used in the traditional system, this paper introduces a method that combines color, texture and shape for image retrieval and shows its advantage. Then this paper focuses on the feature extraction and representation, several commonly used algorithms and image matching methods. © 2011 Published by Elsevier B.V. Selection and/or peer-review under responsibility of Garry Lee. © 2010 Published by Elsevier B.V. PACS: Type pacs here, separated by semicolons ; Keywords: CBIR, Image Segmentation, Feature extraction, Color, Texture, Shape