Formulation of Colors Using a Genetic Algorithm

• Autorzy: Draus C. , Nowak G. , Nowak M. , Tokarski M.
• Języki publikacji: EN

Abstrakty

EN

The possibility to obtain a desired color of the product and to ensure its repeatability in the production process is highly desired in many industries such as printing, automobile, dyeing, textile, cosmetics or plastics industry. So far, most companies have traditionally used the "manual" method, relying on intuition and experience of a colorist. However, the manual preparation of multiple samples and their correction can be very time consuming and expensive. The computer technology has allowed the development of software to support the process of matching colors. Nowadays, formulation of colors is done with appropriate equipment (colorimeters, spectrophotometers, computers) and dedicated software. Computer-aided formulation is much faster and cheaper than manual formulation, because fewer corrective iterations have to be carried out, to achieve the desired result. Moreover, the colors are analyzed with regard to the metamerism, and the best recipe can be chosen, according to the specific criteria (price, quantity, availability). Optimaization problem of color formulation can be solved in many diferent ways. Authors decided to apply genetic algorithms in this domain.

Słowa kluczowe

EN

genetic algorithm; color analysis; CIE colour system; CIELAB

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2012
• Tom: Vol. 17, no. 4
• Strony: 241--244
• Opis fizyczny: Bibliogr. 6 poz., rys.

Twórcy

autor

Draus C.

• Computer Engineering Department, Technical University of Lodz, Lodz, Poland

autor

Nowak G.

• Computer Engineering Department, Technical University of Lodz, Lodz, Poland

autor

Nowak M.

• Computer Engineering Department, Technical University of Lodz, Lodz, Poland

autor

Tokarski M.

• Computer Engineering Department, Technical University of Lodz, Lodz, Poland

Bibliografia

• [1] D. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley Longman Publishing Co, Boston, 1989
• [2] J. Mielicki, Zarys wiadomości o barwie, Fundacja Rozwoju Polskiej Kolorystyki, Łódz, 1997
• [3] M. Mitchell, An Introduction to Genetic Algorithms, MIT Press, Cambridge MA, 1998
• [4] F. Ratajczyk, Kolorymetria Praktyczna, Instytut Fizyki Politechniki Wrocławskiej, Wrocław, 2008
• [5] D. Whitley, A Genetic Algorithm Tutorial, Viley- VCH Verlag GmbH, Weinheim, 1998
• [6] M. D. Vose, The Simple Genetic Algorithm: Foundations and Theory, MIT Press, Cambridge MA, 1998