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Proceedings Paper

Hyperspectral imaging for food processing automation
Author(s): Bosoon Park; Kurt C. Lawrence; William R. Windham; Doug P. Smith; Peggy W. Feldner
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Paper Abstract

This paper presents the research results that demonstrates hyperspectral imaging could be used effectively for detecting feces (from duodenum, ceca, and colon) and ingesta on the surface of poultry carcasses, and potential application for real-time, on-line processing of poultry for automatic safety inspection. The hyperspectral imaging system included a line scan camera with prism-grating-prism spectrograph, fiber optic line lighting, motorized lens control, and hyperspectral image processing software. Hyperspectral image processing algorithms, specifically band ratio of dual-wavelength (565/517) images and thresholding were effective on the identification of fecal and ingesta contamination of poultry carcasses. A multispectral imaging system including a common aperture camera with three optical trim filters (515.4 nm with 8.6- nm FWHM), 566.4 nm with 8.8-nm FWHM, and 631 nm with 10.2-nm FWHM), which were selected and validated by a hyperspectral imaging system, was developed for a real-time, on-line application. A total image processing time required to perform the current multispectral images captured by a common aperture camera was approximately 251 msec or 3.99 frames/sec. A preliminary test shows that the accuracy of real-time multispectral imaging system to detect feces and ingesta on corn/soybean fed poultry carcasses was 96%. However, many false positive spots that cause system errors were also detected.

Paper Details

Date Published: 8 November 2002
PDF: 9 pages
Proc. SPIE 4816, Imaging Spectrometry VIII, (8 November 2002); doi: 10.1117/12.447917
Show Author Affiliations
Bosoon Park, U.S. Dept. of Agriculture (United States)
Kurt C. Lawrence, U.S. Dept. of Agriculture (United States)
William R. Windham, U.S. Dept. of Agriculture (United States)
Doug P. Smith, U.S. Dept. of Agriculture (United States)
Peggy W. Feldner, U.S. Dept. of Agriculture (United States)

Published in SPIE Proceedings Vol. 4816:
Imaging Spectrometry VIII
Sylvia S. Shen, Editor(s)

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