Embryos sorting efficiency identification of eggs with algorithms using Gabor wavelet

Identification of embryos in the eggs is very important first step in the process of sorting the eggs can hatch. identification system which is used to compare the input images of the object with the object database and produce eggs that are trained to see the separation between eggs that have embryos that do not have an embryo. While thresholding is one method that can be used to identify the condition of an egg embryos. thresholding can be used to separate objects on the eggs with backgrounds by Specifies the threshold value, which has been previously stored in the database. Because of the difficulty in detecting many embryos in eggs in a short time, with this system, we no longer use the way one by one to carry out observation of eggs, to know the contents of the embryo eggs with eggs that do not have an embryo, so the eggs do not have the embryos can be immediately consumed or sold while the eggs had embryos can immediately continue the process of hatching. Identification systems using database storage of image data has proved unique, accurate, secure, easy and convenient to use as identification, the system does not take long to find eggs that have embryos, experimentation and testing is performed using methods Gabor wavelet level success up to 90%. Proving this system is quite good in the identification process egg embryos.