Colour displays for categorical images

We propose a method for identifying a set of colours for displaying 2-D and 3-D categorical images when the categories are unordered labels. The principle is to find maximally distinct sets of colours. We either generate colours sequentially, to maximise the dissimilarity or distance between a new colour and the set of colours already chosen, or use a simulated annealing algorithm to find a set of colours of specified size. In both cases, we use a Euclidean metric on the perceptual colour space, CIE-LAB, to specify distances.

[1]  Robert M. Boynton,et al.  Eleven Colors That Are Almost Never Confused , 1989, Photonics West - Lasers and Applications in Science and Engineering.

[2]  Lale Akarun,et al.  A fuzzy algorithm for color quantization of images , 2002, Pattern Recognit..

[3]  Ronald S. Gentile,et al.  Quantization of color images based on uniform color spaces , 1990 .

[4]  R C Carter,et al.  High-contrast sets of colors. , 1982, Applied optics.

[5]  Makoto Miyahara,et al.  Mathematical Transform Of (R, G, B) Color Data To Munsell (H, V, C) Color Data , 1988, Other Conferences.

[6]  Gunther Wyszecki,et al.  Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd Edition , 2000 .

[7]  Elizabeth Greenwell Yanik,et al.  Numerical Recipes in FORTRAN - The Art of Scientific Computing 2nd Ed. (W. H. Press, W. T. Vetterling, S. A. Teukolsky and B. P. Flannery) , 1994, SIAM Rev..

[8]  A. Heringa,et al.  Colour representation of biomedical data , 2006, Medical and Biological Engineering and Computing.

[9]  R. Hunt Colour Science : Concepts and Methods, Quantitative Data and Formulas , 1968 .

[10]  H. Smallman,et al.  Segregation of basic colors in an information display. , 1990, Journal of the Optical Society of America. A, Optics and image science.

[11]  S. Bramble Image analysis for the biological sciences , 1996 .

[12]  Gaurav Sharma,et al.  Digital color imaging , 1997, IEEE Trans. Image Process..

[13]  Paola Campadelli,et al.  An algorithm for the selection of high‐contrast color sets , 1999 .

[14]  Charles A. Bouman,et al.  Optimized universal color palette design for error diffusion , 1995, J. Electronic Imaging.

[15]  B. Brown Proceedings of the Society of Photo-optical Instrumentation Engineers , 1975 .

[16]  Anil K. Jain Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.

[17]  S. Sangwine,et al.  The Colour Image Processing Handbook , 1998, Springer US.

[18]  J D Mollon,et al.  Computerized simulation of color appearance for dichromats. , 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.

[19]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[20]  Alain Trémeau,et al.  Color quantization error in terms of perceived image quality , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.