A New Method to Recognize Unfertilized Egg in Early Incubation Stage
In order to achieve higher recognition rate of unfertilized eggs,the paper proposes a new method based on the area feature of eggs vertical image and the classifier BP network.The eggs hatched 2-5 days are selected as the experiment objects in our study.Four kinds of feature,including the gray feature and the area feature extracted from the eggs vertical image and the eggs horizontal image,respectively,are sent to BP network to accomplish the recognition of unfertilized eggs.The experiment results indicate that the area feature of eggs vertical image contains more category information,and this kind of feature classified by BP network can reach 97.86% of recognition rate.Moreover,it is almost free from some external factors,such as light,camera,eggshell and the parameters of BP network.While the other features sent to BP network,the recognition rate can be reached to only 86.43%.This study provides an effective and useful method to recognize unfertilized egg in early incubation stage.
Unfertilized egg Area feature Image processing BP network Incubation
Hongjun Zhang Lijia Xu Wenlong Zhao Mingdan Liu Wenjun Zhou Chao Yang
College of Information and Engineering Technology, Sichuan Agricultural University, Yaan 625014,China
国际会议
台湾
英文
4335-4339
2011-12-11（万方平台首次上网日期，不代表论文的发表时间）