Implementation of Image Processing and Fuzzy Logic Discriminator of Hatching Eggs Fertility

摘要

The capability to automatically identify fertile eggs for incubation could achieve high profits of hatcheries. Infertile eggs manually detection and removal cost a lot and can lead a pathogen contamination of chicks. Many systems engineering software are developed in last few decades for applications that require test, measurement and control with rapid access to hardware and data insights. LabView™ is one of these systems engineering software which offers a graphical programming approach. Fertility detection techniques are expensive to be applied widely, hence an investigation of the possibility of using a low-cost method. Egg fertility visualization using machine vision are expensive, but the using LabView™ software package can provide a suitable low-cost method for egg fertility by visualization using image processing and fuzzy-logic system control kits, a suitable candling unit designed for illuminating the eggs which po- tentially enables an camera with 13 Mega Pixels in fifth day of incubation. Captured images by camera mobile phone (Huawei Y6 Pro), and results extract four rules from fuzzy logic and Pixels value histograms results showed a significant difference between the mean pixels values of fertile and infertile eggs at 95% confidence level.