Paper
6 January 1995 Integration of visible/NIR spectroscopy and multispectral imaging for poultry carcass inspection
Bosoon Park, Yud-Ren Chen, R. W. Huffman
Author Affiliations +
Proceedings Volume 2345, Optics in Agriculture, Forestry, and Biological Processing; (1995) https://doi.org/10.1117/12.198871
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States
Abstract
An integrated system which consisted of a visible/near-infrared spectroscopic subsystem and an intensified multispectral imaging subsystem was tested for its accuracy in separating abnormal (unwholesome) from normal poultry carcasses. The spectroscopic subsystem measured reflectance spectra of the poultry carcasses at wavelengths from 471 to 965 nm. For the multispectral imaging subsystem, the gray-level intensity of whole carcasses was measured using six different optical filters of 542, 571, 641, 700, 720, and 847 nm wavelengths. The preliminary results showed that, with the integrated system, there were no abnormal carcasses being misclassified as normal carcasses. When individual subsystem was used for classification, the error of the spectroscopic subsystem was 2.6% and that of the multispectral imaging subsystem was 3.9%. Thus, the integrated system could be used for separating carcasses into normal and abnormal streams. With perfect selection of normal carcasses in the normal carcass stream, the inspector needs only inspect the abnormal carcass stream. Thus, the through-put of carcasses of the processing line per inspector could be greatly increased.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bosoon Park, Yud-Ren Chen, and R. W. Huffman "Integration of visible/NIR spectroscopy and multispectral imaging for poultry carcass inspection", Proc. SPIE 2345, Optics in Agriculture, Forestry, and Biological Processing, (6 January 1995); https://doi.org/10.1117/12.198871
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Cited by 5 scholarly publications.
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KEYWORDS
Multispectral imaging

Spectroscopy

Imaging spectroscopy

Inspection

System integration

Imaging systems

Reflectivity

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