Share Email Print
cover

Proceedings Paper

Detection of eviscerated poultry spleen enlargement by machine vision
Author(s): Yang Tao; June Junqing Shao; John Kirk Skeeles; Yud-Ren Chen
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 12 January 1999
PDF: 8 pages
Proc. SPIE 3544, Pathogen Detection and Remediation for Safe Eating, (12 January 1999); doi: 10.1117/12.335774
Show Author Affiliations
Yang Tao, Univ. of Arkansas (United States)
June Junqing Shao, Univ. of Arkansas (United States)
John Kirk Skeeles, Univ. of Arkansas (United States)
Yud-Ren Chen, USDA Agricultural Research Service (United States)


Published in SPIE Proceedings Vol. 3544:
Pathogen Detection and Remediation for Safe Eating
Yud-Ren Chen, Editor(s)

© SPIE. Terms of Use
Back to Top