Development of Color Vision Deficiency Assistive System

Authors

  • Chong Kah Meng Centre for Artificial Intelligence & Robotics (CAIRO), Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Fatimah Sham Ismail Centre for Artificial Intelligence & Robotics (CAIRO), Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Afiqamirul Ya’akup Centre for Artificial Intelligence & Robotics (CAIRO), Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v72.3880

Keywords:

Color vision deficiency, image processing, color coding, open software

Abstract

Color vision deficiency is commonly known as color blind, is a type of vision defect in our eyeball. The inability to recognize color has caused several problems to the patient daily life and in conducting certain color oriented activities. To help the patient cope with the problem of recognizing colors, a color vision deficiency aided device is designed. This paper focuses on developing a user interface that can detect colors and show it as text on the screen of the device using the concept of augmented reality. The system basically consists of a mini computer, Raspberry PI and its own camera module as well as a LCD screen for display purposes. Raspberry PI is used due to its small and compact size and capability to carry out image processing. With the help of OpenCV library, color detection, filtering and processing can be carried out easily. Benchmark shape and color of has been designed for experimental purposes to test for the performance and functionality of the system. The result of the distance test shows that the hue (H) element is almost consistent whereas the saturation (S) varies by roughly 49.3% and value (V) by 30.5%. As for the range of detection, the minimum range is 12 cm where the maximum range is up to 15 meter. The accuracy of the 4 base colors detection is about 80%. 

References

MeIntyre, D. 2002. Color Blindness. Dalton Publishing.

Christine R. 1999. The Eye of the Beholder–Designing for Colour-blind Users. British Telecommunications Engineering. 17: 291–295.

Neitz, M. and Neitz, J. 2000. Molecular Genetics of Color Vision and Color Vision Defects. Archieves of Ophthalmology. 63(2): 232–237.

Healy, G., Shafer, S. and Wolff, L. 1992. Physics Based Vision: Principles and Practice, COLOR. Boston: Jones and Bartlett.

Brettel, H. and Vienot, F. 2001. Color Display for Dichromats, Proceeding of SPIE on Color Imaging. 4300:199–207.

Poret, S., Jony, R. D. and Gregory, S. 2009. Image Processing for Color Blindness Correction. IEEE Toronto International Conference. 1–6.

Ohkubo, T. and Kobayashi, K. 2008. A Color Compensation Vision System for Color-blind People. SICE Annual Conference. The University ElectroCommunications Japan.

Plataniotis, K. N. and Vinetsanopoulos. A. N. 2000. Color Image Processing and Application. Berlin: Springer-Verlag.

McDowell, Jason. 2008. Design of a Color Sensing System to Aid the Color Blind. 27: 34–39.

SeuttgiYmg and Yong Man Ro. 2003. Visual Contents Adaptation for Color Vision Deficiency. 1: 453–456.

Yau-Hwang Kuo and Jang-Pong Hsu. 1996. MCFC-R: A Fuzzy Connectionist Model for Color-blindness Plate Recognition. 2: 718–723.

Swain, M. and Ballard, D. 1991. Color Indexing. International Journal of Computer Vision. 7: 11–32.

Birch J. 2012. Worldwide Prevalence of Red-green Color Deficiency. J Opt Soc Am A Opt Image Sci Vis. 29(3): 313–320.

Konstantakopoulou, E., Rodriguez-Carmona M., and Barbur J. L. 2012. Processing of Color Signals in Female Carriers of Color Vision Deficiency. Journal of Vision. 12(2): 1–11.

Hood S. M., Mollon J. D., Purves L. and Jordan G. 2006. Color Discrimination in Carriers of Color Deficiency. Vision Research. 46: 2894–2900.

Nathans, J., Thomas, D., and Hogness, D.S. 1986. Molecular Genetics of Human Color Vision: The Genes Encoding Blue, Green, and Red Pigments. Science. 232(4747): 193–202.

Sharpe, L. T., Stockman, A., Jagle, H. and Nathans, J. 1999. Opsin Genes, Cone Pigments, Color Vision and Color Blindness. In: Gegenfurtner K. R., Sharpe, L. T. (eds). Color Vision. Cambridge University Press: Cambridge.

Walraven, J. and Alferdinck, J. W. 1997. Color Displays for the Color Blind. Proc. On Color Science, Systems, and Application of 5th Color Image Conference, Scottsdale, Arizona: Society for Imaging Science and Technology. 17–22.

Bimber, Oliver, and Ramesh, Raskar. 2005. Spatial Augmented Reality. Massachusetts: A K Peters.

Products for the Blind and Visually Impaired: Colorino retrieved November, 20, 201 from http://www.caretec.at/ColorTest_Colorino.32.0.html/.

Brettel, H., Vienot, F. and Mollon, J. 1997. Computerized Simulation of Color Appearance of Dichromats. Journal of Optical Society of America. 14(10): 2647–2655.

Solem, J. E. 2012. Programming Computer Vision with Python. Sebastopol: O’Reilly Media.

Joseph Howse. 2013. OpenCV Computer Vision with Python. Birmingham: Packt Publishing Ltd.

Bradsky, G. and Kaehler, A. 2008. Learning OpenCV. California: O’Reilly Media.

Jeffries, B. J. 1880. Color-blindness: Its Dangers and Its Detection. Boston: Houghton, Osgood and Company.

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Published

2015-01-05

How to Cite

Development of Color Vision Deficiency Assistive System. (2015). Jurnal Teknologi, 72(2). https://doi.org/10.11113/jt.v72.3880