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http://dx.doi.org/10.3745/KIPSTB.2003.10B.6.681

Implementation of Content-based Image Retrieval System using Color Spatial and Shape Information  

Ban, Hong-Oh (한림정보산업대학 인터넷정보과)
Kang, Mun-Ju (강원대학교 대학원 컴퓨터학과)
Choi, Heyung-Jin (강원대학교 컴퓨터과학과)
Publication Information
The KIPS Transactions:PartB / v.10B, no.6, 2003 , pp. 681-686 More about this Journal
Abstract
In recent years automatic image indexing and retrieval have been increasingly studied. However, content-based retrieval techniques for general images are still inadequate for many purposes. The novelty and originality of this thesis are the definition and use of a spatial information model as a contribution to the accuracy and efficiency of image search. In addition, the model is applied to represent color and shape image contents as a vector using the method of image features extraction, which was inspired by the previous work on the study of human visual perception. The indexing scheme using the color, shape and spatial model shows the potential of being applied with the well-developed algorithms of features extraction and image search, like ranking operations. To conclude, user can retrieved more similar images with high precision and fast speed using the proposed system.
Keywords
CBIR; Color Spatial; Shape Information;
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