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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

External and Internal Defect Detection of Egg using Machine Vision

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Author S.Arivazhagan, R.Newlin Shebiah, Hariharan Sudharsan, R. Rajesh Kannan, R. Ramesh
ISSN 2079-8407
On Pages 257-262
Volume No. 4
Issue No. 3
Issue Date April 01, 2013
Publishing Date April 01, 2013
Keywords Poultry, egg defect, Crack detection, internal bloodspot detection


Automatic separation of defective eggs from qualified would lead to a great reduction on the graders visual stress as well as to an improvement on the quality control process. This paper presents image processing based non-destructive and cost-effective technique to detect various cracks, dirt in egg shell and internal blood spots. Cracks usually have low luminance and thus the bottom hat transform is used to extract the cracks from the luminance component of the image after YIQ transformation. For estimating the freshness of the egg, the acquired candled images are enhanced to detect the bloodspots and then the number of pixels labeled as blood spots are counted. The database consists of acquired images from eggs under different illumination condition. The results are presented to demonstrate the validity of the proposed visual process on a wide sample of both defective and non-defective eggs

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