Abstract
Color recipe specification in textile print shop requires a great deal of human experience. There is an intrinsic knowledge that makes the computing modeling a difficult task. One of the main issues is the human color perception. A small variation on the intenseness of colorants can lead to very different results. In this paper, we propose to use a Radial Basis Function Networks (RBFN) to color recipe specification in the textile print shop. The method has been applied on a real environment with the following results: it allowed the modeling of the intuitive nature of color perception; it made possible to simulate the color mixing process on a computer; and it became a suitable means for training on color recipe specification.
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Sandro, R., José Leomar, T. (1999). Color recipe specification in the textile print shop using radial basis function networks. In: Mira, J., Sánchez-Andrés, J.V. (eds) Engineering Applications of Bio-Inspired Artificial Neural Networks. IWANN 1999. Lecture Notes in Computer Science, vol 1607. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0100556
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DOI: https://doi.org/10.1007/BFb0100556
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