Color Image Segmentation for Content-based Image Retrieval 


Vol. 7,  No. 9, pp. 2994-3001, Sep.  2000
10.3745/KIPSTE.2000.7.9.2994


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  Abstract

In this paper, a method for color image segmentation using region merging is proposed. A inhomogeneity which exists in image is reduced by smoothing with non-linear filtering, saturation enhancement and intensity averaging in previous step of image segmentation, and a similar regions are segmented by non-uniform quantization using zero-crossing information of color histogram. A edge strength of initial region is measured using high frequency energy of wavelet transform. A candidate region which is merged in next step is selected by doing this process. A similarity measure for region merging is processed using Euclidean distance of R, G, B color channels. A Proposed method can reduce an over-segmentation results by irregular light sources et. al., and we illustrated that the proposed method is reasonable by simulation.

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[IEEE Style]

S. H. Lee, C. S. Hong, Y. S. Kwak, D. Y. Lee, "Color Image Segmentation for Content-based Image Retrieval," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 7, no. 9, pp. 2994-3001, 2000. DOI: 10.3745/KIPSTE.2000.7.9.2994.

[ACM Style]

Sang Hun Lee, Choong Seon Hong, Yoon Sik Kwak, and Dai Young Lee. 2000. Color Image Segmentation for Content-based Image Retrieval. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 7, 9, (2000), 2994-3001. DOI: 10.3745/KIPSTE.2000.7.9.2994.

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