Uniform Color Image Transformation based on Color Cluster Model


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 3, No. 6, pp. 1646-1657, Nov. 1996
10.3745/KIPSTE.1996.3.6.1646,   PDF Download:

Abstract

This paper presents a color transformation method based on a uniform color image model. Firstly, color variation factors are grouped into identical (multiplicative) factor and independent(additive) one for the color model, and they are modelled by the Gaussian function. The shape of a color cluster in (R, G, B) feature space is an ellipsoid whose elongated major axis correspond to the direction of mean vector. Secondly, the transformation of a color cluster using the model is studied. A transformation method for three dimensional coordinates is described, and a transformation matrix consisting of the mean vector of a color cluster and its orthogonal vectors is obtained. The proposed method is applied to artificial and natural color images. By the result of experiments, the elongated major axis of each cluster making up the transformed color image agrees with the direction fo its mean vector.


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Cite this article
[IEEE Style]
L. J. Hwan, P. S. Heun, K. J. Su, "Uniform Color Image Transformation based on Color Cluster Model," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 3, no. 6, pp. 1646-1657, 1996. DOI: 10.3745/KIPSTE.1996.3.6.1646.

[ACM Style]
Lee Jeong Hwan, Park Se Heun, and Kim Jung Su. 1996. Uniform Color Image Transformation based on Color Cluster Model. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 3, 6, (1996), 1646-1657. DOI: 10.3745/KIPSTE.1996.3.6.1646.