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Research Project: DEVELOPMENT OF NEW AND IMPROVED SYSTEMS TO ENHANCE FOOD SAFETY INSPECTION AND SANITATION OF FOOD PROCESSING Title: DEVELOPMENT OF A WAVELENGTH-CHANGEABLE MULTI-BAND COLOR-MIXING DEVICE AND ITS APPLICATION

Authors
item Ding, Fujian - UNIV OF KY, VISITING SCI
item Chen, Yud
item Chao, Kuanglin

Submitted to: Proceedings of SPIE
Publication Type: Proceedings
Publication Acceptance Date: January 20, 2007
Publication Date: February 21, 2007
Repository URL: http://spiedigitallibrary.aip.org
Citation: Ding, F., Chen, Y.R., Chao, K. Development of a wavelength-changeable multi-band color-mixing device and its application. Proceedings of SPIE. Online 02/21/2007.

Technical Abstract: Previously, we showed that two- and three-band color-mixing techniques could be used to achieve results optically equivalent to two- and three-band ratios that are normally implemented using multispectral imaging systems, for enhancing identification of single target types against a background and for separation of multiple targets by color or contrast. In this paper, a prototype of a wavelength-changeable two- and three-band color-mixing device is presented and its application is demonstrated. The wavelength-changeable device uses changeable central wavelength bandpass filters and various filter arrangements. The experiments showed that a color-mixing technique implemented in a pair of binoculars coupled with an imager could greatly enhance target identification of color-blindness test cards with hidden numbers and figures as the targets. Target identification of color blindness cards was greatly improved by using two-band color-mixing with filters at 620 nm and 650 nm, which were selected based on the criterion of uniform background. Target identification of a different set of color blindness test cards was also improved using three-band color-mixing with filters at 450 nm, 520 nm, and 632 nm, which were selected based on the criterion of maximum chromaticness difference. These experiments show that color-mixing techniques can significantly enhance electronic imaging and visual inspection.

   

 
Project Team
Kim, Moon
Lefcourt, Alan
Chao, Kuanglin - Kevin Chao
 
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   Publications
 
Related National Programs
  Food Safety, (animal and plant products) (108)
 
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