The use of image processing method in bad quality egg quality assessment

سرداری, سجاد and افکاری سیاح, امیر حسین and رسولی شربیانی, ولی and راسخ, منصور The use of image processing method in bad quality egg quality assessment. In: 2nd International and 6th National Iranian Congress on Organic vs. Conventional Agriculture, August 2019, Ardabil, Iran.

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Abstract

In this study, egg samples that had been tested were prepared with a brownish shell in 100 different farms in a poultry section. Samples were divided into two groups of healthy eggs and defective eggs. The eggs were placed in special containers for photographing, and their images were individually and collectively made from the lower and upper figures, both vertically and horizontally. The images are processed using MATLAB software installed on a computer; with the help of five predictor variables, the ability to detect defective samples from healthy subjects was studied in two classes. Features extracted from the appearance of eggs were small and large, the environment, the surface of the image and the Covex Area index. The results of this study showed that with the help of linear diagnostic analysis, only two surface variables and the Covex Area index, with a precision of 99.67%, can be distinguished between two classes of malformation and healthy.

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