| Summary: Automatic separation of defective eggs from quality eggs is an important issue in that both economic and health reasons in the egg farm industry. In the modern egg processing plants, removing defective eggs with visual inspection of people slow process.
Nowadays, different defect detection algorithms are done as well as eggs classification is done with people visual inspection in the real farm industry. These studies are mostly performed on gray level egg images using different types of image processing techniques and decided whether quality egg or defective egg.
Key Words: Defect detection, K-means classification; color recognition; eggshell defect; visual inspection; image processing. |
