Journal of Animal and Veterinary Advances
ISSN: Online 1993-601XISSN: Print 1680-5593
Abstract
Grading defected eggs is one of the important needs of poultry industry, because of sanitary and also economic reasons. Separating cracked and dirty eggs in primary steps of packing is an inevitable necessity to protect other eggs and mechanical parts from contamination. This study presents an automatic method based on colored image processing for recognition of eggshell defects. This method is based on recognition of discontinuities in image caused by eggshell defects. This algorithm uses a high pass filter to determine discontinuities. Finally, the deficiency of an egg is considered after applying an adaptive threshold to the filtered picture. The result of this method is more reliable than the methods given before.
How to cite this article:
H.R. Pourreza , A.H. Naebi , S. Fazeli and B. Taghizade . Automatic Detection of Eggshell Defects Based on Machine Vision.
DOI: https://doi.org/10.36478/javaa.2008.1200.1203
URL: https://www.makhillpublications.co/view-article/1680-5593/javaa.2008.1200.1203