Document Detail


Two-color mixing for classifying agricultural products for safety and quality.
MedLine Citation:
PMID:  16485678     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
We show that the chromaticness of the visual signal that results from the two-color mixing achieved through an optically enhanced binocular device is directly related to the band ratio of light intensity at the two selected wavebands. A technique that implements the band-ratio criterion in a visual device by using two-color mixing is presented here. The device will allow inspectors to identify targets visually in accordance with a two-wavelength band ratio. It is a method of inspection by human vision assisted by an optical device, which offers greater flexibility and better cost savings than a multispectral machine vision system that implements the band-ratio criterion. With proper selection of the two narrow wavebands, discrimination by chromaticness that is directly related to the band ratio can work well. An example application of this technique for the inspection of carcasses chickens of afficted with various diseases is given. An optimal pair of wavelengths of 454 and 578 nm was selected to optimize differences in saturation and hue in CIE LUV color space among different types of target. Another example application, for the detection of chilling injury in cucumbers, is given, here the selected wavelength pair was 504 and 652 nm. The novel two-color mixing technique for visual inspection can be included in visual devices for various applications, ranging from target detection to food safety inspection.
Authors:
Fujian Ding; Yud-Ren Chen; Kuanglin Chao; Diane E Chan
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Applied optics     Volume:  45     ISSN:  0003-6935     ISO Abbreviation:  Appl Opt     Publication Date:  2006 Feb 
Date Detail:
Created Date:  2006-02-20     Completed Date:  2006-04-27     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0247660     Medline TA:  Appl Opt     Country:  United States    
Other Details:
Languages:  eng     Pagination:  668-77     Citation Subset:  -    
Affiliation:
Instrumentation and Sensing Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Building 303 BARC-East, 10300 Baltimore Avenue, Beltsville, Maryland 20705, USA.
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