Paper
15 April 2008 Modified pressure system for imaging egg cracks
Kurt C. Lawrence, Seung Chul Yoon, Deana R. Jones, Gerald W. Heitschmidt, Bosoon Park, William R Windham
Author Affiliations +
Abstract
One aspect of grading table eggs is shell checks or cracks. Currently, USDA voluntary regulations require that humans grade a representative sample of all eggs processed. However, as processing plants and packing facilities continue to increase their volume and throughput, human graders are having difficulty matching the pace of the machines. Additionally, some plants also have a problem with micro-cracks that the graders often miss because they are very small and hard to see immediately post-processing but grow and become readily apparent before they reach market. An imaging system was developed to help the grader detect these small micro-cracks. The imaging system utilized one image captured at atmospheric pressure and a second at a slight negative pressure to enhance the crack and make detection much easier. A simple image processing algorithm was then applied to the ratio of these two images and the resulting image, containing both cracked and/or intact eggs were color-coded to simplify identification. The imaging system was capable of imaging 15 eggs in about 3/4 second and the algorithm processing took about another 10 seconds. These times could easily be reduced with a dedicated, multi-threaded computer program. In analyzing 1000 eggs, the system was 99.6% accurate overall with only 0.3% false positives compared to 94.2% accurate overall for the human graders with 1.2% false positives. An international patent on the system was filed and further automation of the system is needed.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kurt C. Lawrence, Seung Chul Yoon, Deana R. Jones, Gerald W. Heitschmidt, Bosoon Park, and William R Windham "Modified pressure system for imaging egg cracks", Proc. SPIE 6983, Defense and Security 2008: Special Sessions on Food Safety, Visual Analytics, Resource Restricted Embedded and Sensor Networks, and 3D Imaging and Display, 698303 (15 April 2008); https://doi.org/10.1117/12.786864
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KEYWORDS
Cameras

Imaging systems

Image processing

Image filtering

Sensors

Digital filtering

Light emitting diodes

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