Egg size classification on Android mobile devices using image processing and machine learning

Abstract

Chicken eggs are a common ingredient in human food, used as an ingredient in almost every food culture worldwide. Judging the size, and therefore weight, of an egg is often important in many food recipes. This paper proposes an image processing algorithm for classifying eggs by size from an image displayed on an Android device. A coin of known size is used in the image as a reference object. The coin's radius and the egg's dimensions are automatically detected and measured using image processing techniques. Egg sizes are classified based on their features computed from the measured dimensions using a support vector machine (SVM) classifier. The experimental results show the measurement errors in egg dimensions were low at 3.1% and the overall accuracy of size classification was 80.4%.