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


The KIPS Transactions:PartB , Vol. 10, No. 6, pp. 681-686, Oct. 2003
10.3745/KIPSTB.2003.10.6.681,   PDF Download:

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.


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Cite this article
[IEEE Style]
B. J. O, K. M. Ju, C. H. Jin, "Implementation of Content-based Image Retrieval System using Color Spatial and Shape Information," The KIPS Transactions:PartB , vol. 10, no. 6, pp. 681-686, 2003. DOI: 10.3745/KIPSTB.2003.10.6.681.

[ACM Style]
Ban Jong O, Kang Mun Ju, and Choe Hyeong Jin. 2003. Implementation of Content-based Image Retrieval System using Color Spatial and Shape Information. The KIPS Transactions:PartB , 10, 6, (2003), 681-686. DOI: 10.3745/KIPSTB.2003.10.6.681.