Efficient Content-Based Image Retrieval Method using Shape and Color feature


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 3, No. 4, pp. 733-744, Jul. 1996
10.3745/KIPSTE.1996.3.4.733,   PDF Download:

Abstract

Contentbased image retrieval(CBIR) is an image data retrieval methodology using characteristic values of image data those are generated by system automatically without any caption or text information. In this paper, we propose a content-based image data retrieval method using shape and color features of image data as characteristic values. For this, we present some image processing techniques used for feature extraction and indexing techniques based on trie and R tree for fast image data retrueval. In our approach, image query result is more reliable because both shape and color features are considered. Also, we showan image database which implementated according to our approaches and sample retrieval results which are selected by our system from 200 sample images, and an analysis about the result by considering the effect of characteristic values of shape and color.


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Cite this article
[IEEE Style]
Y. S. Ju and K. W. Saeng, "Efficient Content-Based Image Retrieval Method using Shape and Color feature," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 3, no. 4, pp. 733-744, 1996. DOI: 10.3745/KIPSTE.1996.3.4.733.

[ACM Style]
Youm Sung Ju and Kim Woo Saeng. 1996. Efficient Content-Based Image Retrieval Method using Shape and Color feature. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 3, 4, (1996), 733-744. DOI: 10.3745/KIPSTE.1996.3.4.733.