Implementation of Connected Component Labelling for Calculation Amount of Eggs on the Laying Pullet Cage

Abstract

Chicken eggs are one of the commodities that become easily available foodstuffs. The level of egg production in good condition is directly proportional to the capacity of the cage. The process of calculating the amount of egg production becomes a problem for farmers when they want to calculate the amount of egg production in the condition of a chicken coop on a large scale. Smart systems are one form of technological development with the primary goal of producing effective and efficient systems. One area that plays a role in technological development is image processing, eggs are objects with certain color characteristics and pixel scales. In this study, the process of calculating the number of eggs based on color segmentation and selection of pixel scales on eggs and the process of calculating objects using the Connected Component Labeling algorithm of images that have gone through gray-scale and threshold processes and implemented using MATLAB. The trial results show that the object image of an egg is strongly influenced by the size of the image, the intensity of the light, and distance of capturing images. The number of eggs that can be detected in this study depends on the process of segmentation and measurement of the object’s egg scale, in this study it was found that colors other than egg colors and objects that are outside the egg scale will be considered as noise and will not be detected.