Paper Title:
A New Method to Recognize Unfertilized Egg in Early Incubation Stage
  Abstract

In order to achieve higher recognition rate of unfertilized eggs, the paper proposes a new method based on the area feature of egg's 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 egg's vertical image and the egg's horizontal image, respectively, are sent to BP network to accomplish the recognition of unfertilized eggs. The experiment results indicate that the area feature of egg's 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.

  Info
Periodical
Chapter
Chapter 8: System Modeling and Simulation
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
4335-4339
DOI
10.4028/www.scientific.net/AMM.121-126.4335
Citation
H. J. Zhang, L. J. Xu, W. L. Zhao, M. D. Liu, W. J. Zhou, C. Yang, "A New Method to Recognize Unfertilized Egg in Early Incubation Stage", Applied Mechanics and Materials, Vols. 121-126, pp. 4335-4339, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Jian Yang, Chun Yan Xia, He Pan, Ying Shi, Xiu Ying Li
Chapter 2: Industrial Electronics, Communication, Sensors and Measurements
Abstract:In order to realize the precise identification of eggshell crack, we design eggshell cracks detection method based on image processing and...
655
Authors: Jian Yang, Chun Yan Xia, Xiu Ying Li, He Pan, Ying Shi
Chapter 3: Information Technologies Application for Manufacture, Data Processing and Computational Methods
Abstract:In order to detect fertilized eggs nondestructively to improve hatching rate, this paper uses the method of image processing and Learning...
522