Paper
12 January 1999 Detection of eviscerated poultry spleen enlargement by machine vision
Yang Tao, June Junqing Shao, John Kirk Skeeles, Yud-Ren Chen
Author Affiliations +
Proceedings Volume 3544, Pathogen Detection and Remediation for Safe Eating; (1999) https://doi.org/10.1117/12.335774
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States
Abstract
The size of a poultry spleen is an indication of whether the bird is wholesomeness or has a virus-related disease. This study explored the possibility of detecting poultry spleen enlargement with a computer imaging system to assist human inspectors in food safety inspections. Images of 45-day-old hybrid turkey internal viscera were taken using fluorescent and UV lighting systems. Image processing algorithms including linear transformation, morphological operations, and statistical analyses were developed to distinguish the spleen from its surroundings and then to detect abnormal spleens. Experimental results demonstrated that the imaging method could effectively distinguish spleens from other organ and intestine. Based on a total sample of 57 birds, the classification rates were 92% from a self-test set, and 95% from an independent test set for the correct detection of normal and abnormal birds. The methodology indicated the feasibility of using automated machine vision systems in the future to inspect internal organs and check the wholesomeness of poultry carcasses.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Tao, June Junqing Shao, John Kirk Skeeles, and Yud-Ren Chen "Detection of eviscerated poultry spleen enlargement by machine vision", Proc. SPIE 3544, Pathogen Detection and Remediation for Safe Eating, (12 January 1999); https://doi.org/10.1117/12.335774
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Cited by 3 scholarly publications.
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KEYWORDS
Spleen

Inspection

Ultraviolet radiation

Machine vision

Image processing

Intestine

Light sources and illumination

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