DOI QR코드

DOI QR Code

Implementation of Intelligent Expert System for Color Measuring/Matching

칼라 매저링/매칭용 지능형 전문가 시스템의 구현

  • An, Tae-Cheon (Dept.of Electric Electronics Information Engineering, Wonkwang University) ;
  • Jang, Gyeong-Won (Dept.of Electric Electronics Information Engineering, Wonkwang University) ;
  • O, Seong-Gwon (Dept.of Electric Electronics Information Engineering, Wonkwang University)
  • 안태천 (원광대학교 전기전자 및 정보공학부) ;
  • 장경원 (원광대학교 전기전자 및 정보공학부) ;
  • 오성권 (원광대학교 전기전자 및 정보공학부)
  • Published : 2002.07.01

Abstract

The color measuring/matching expert system is implemented with a new color measuring method that combines intelligent algorithms with image processing techniques. Color measuring part of the proposed system preprocesses the scanned original color input images to eliminate their distorted components by means of the image histogram technique of image pixels, and then extracts RGB(Red, Green, Blue)data among color information from preprocessed color input images. If the extracted RGB color data does not exist on the matching recipe databases, we can measure the colors for the user who want to implement the model that can search the rules for the color mixing information, using the intelligent modeling techniques such as fuzzy inference system and adaptive neuro-fuzzy inference system. Color matching part can easily choose images close to the original color for the user by comparing information of preprocessed color real input images with data-based measuring recipe information of the expert, from the viewpoint of the delta Eformula used in practical process.

Keywords

References

  1. M. Sugeno and G. T. Kang 'Structure identification of fuzzy model,' Fuzzy Set and Systems, vol. 28, pp. 15-33, 1988 https://doi.org/10.1016/0165-0114(88)90113-3
  2. G. T. Kang and M. Sugeno, 'Fuzzy modeling,' Transactions. of the Society of Instrument and Control Engineers, vol. 23, no. 6, pp. 106-108, 1987
  3. R. M. Tong, 'Synthesis of fuzzy models for industrial processes,' Int. J. Gen. Systems, vol. 4, pp. 143-162, 1978 https://doi.org/10.1080/03081077808960680
  4. T. C. Ahn and S. M. Ryu, 'Fuzzy PNN algorithm and its application to nonlinear processes,' Int. J. Gen. Systems, vol. 30, no. 4, pp. 463-478, Aug. 2001 https://doi.org/10.1080/03081070108960725
  5. W. Pedrycz, 'An identification algorithm in fuzzy relational system,' Fuzzy Sets and Systems, vol. 13, pp. 153-167, 1984 https://doi.org/10.1016/0165-0114(84)90015-0
  6. R. R. Yager, 'Fuzzy modeling for intelligent decision making under uncertainty,' IEEE Transactions on Systems, Part B: Man and Cybernetics, vol.30, no. 1 , pp. 60-70, 2000 https://doi.org/10.1109/3477.826947
  7. M. Sugeno and T. Yasukawa, 'A fuzzy-logie-based approach to qualitative modeling,' IEEE Trans. on Fuzzy System, vol. 1. no. 1, pp. 7-31, Feb., 1993 https://doi.org/10.1109/TFUZZ.1993.390281
  8. M. J. Swin, 'Interactive indexing into image databases,' SPIE Proceedings: Storage and Retrieval for Image and Video Databases, vol. 1980, pp. 95-103, Feb., 1993 https://doi.org/10.1117/12.143659
  9. A. Petland, R. W. Picard, and S. Slaroff, 'Photobook : Tools for content-based manipulation of image database,' SPIE Proceedings: Storage and Retrieval for Image and Video Databases II, vol. 2185, pp. 34-47, Feb., 1994 https://doi.org/10.1117/12.171786
  10. C. Connolly and T. Fliess, 'A study of efficiency and accuracy in the transformation from RGB to CIELAB color space,' IEEE Trans. on Image Processing, vol.6 no.7, pp. 1046-1048, 1997 https://doi.org/10.1109/83.597279
  11. S. H. Boyle, 'Image processing, analysis, and machine vision,' Second Edition, PWS, Boston, 1998
  12. J. R. Parker, 'Algorithms for image processing and computer vision,' Wiley, N. Y., 1996
  13. P. Bosdogianni, 'Image processing: The fundamentals,' Wiley, N. Y., 1999
  14. R. Crane, 'A simplified approach to image processing: Classical and modem techniques in C,' Prentice Hall, N. J., 1999
  15. 오성권, 'C-프로그래밍에 의한 퍼지 모델 및 제어 시스템' 내하출판사, 2000
  16. J. R. Jang, 'ANFIS : Adaptive-network-based fuzzy inference system,' IEEE trans. on System, Man and Cybernetics, vol. 23, no. 3, pp. 665-685, 1994 https://doi.org/10.1109/21.256541
  17. 류상문, 한일석, 박병준, 안태천, '퍼지 모델링 기법을 이용한 새로운 칼라 조제 방법,' 대한 전기학회 하계학술대회, vol. D, pp. 2395-2397, Jul., 2000
  18. T. Muraoka and N. Nakashima, 'New color matching system for color reproduction,' Proc. of 11th KACC, Oct, 1996