Approach for egg defects assessment using image analysis

Abstract

The paper presents approach for egg defects assessment using image analysis. An algorithm for indirect egg defect recognition using image processing is proposed. The values of the egg samples are collected by image processing. HSV and YIQ color spaces are used for egg defects recognition. The paper presents also a developed graphical user interface for recognizing defective eggs in the MATLAB environment, based on computer vision. The interface is modular, which allows upgrade of the procedures and algorithms that are used. The experimental results show that the accuracy with YIQ color model is better than the HSV color model for the purpose of recognition. Accuracy ranges is less than 5%.