Egg_s Bloodspot Detection Using Image Processing

Quality control in manufacturing such as food products is important to meet the user requirement. For example, it is very important to control the quality of eggs in order to ensure only the first quality of eggs are sold and be able to deliver customer satisfactions. In this paper, we apply image processing approach to detect abnormalities in eggs. The image of eggs has been collected in form of RBG color images. The quality of the gathered image will be improved using two main approaches which are color enhancement and image filtering. For features extraction, the horizontal scanning process is implemented to get information from the interested area. Later, this information in calculating the percentages of the bloodspot exists in the egg. The result shows that the system meets its objectives where 83% of the egg with bloodspot images is correctly being detected.