Research on prediction model of egg freshness based on image processing

Authors

LIU Yingying, College of Engineering, South China Agricultural University, Guangzhou, Guangdong 510642, China; Key Laboratory of Key Technology on Agricultural Machine and Equipment ﹝South China Agricultural University﹞, Ministry of Education, Guangzhou, Guangdong 5106
ZHONG Nan, College of Engineering, South China Agricultural University, Guangzhou, Guangdong 510642, China; Key Laboratory of Key Technology on Agricultural Machine and Equipment ﹝South China Agricultural University﹞, Ministry of Education, Guangzhou, Guangdong 5106

Abstract

Egg freshness is an important index to measure the economic quality of eggs, and 98 eggs’ image information of different storage time were collected. In the meantime, the conventional index, includes the weight, the height of protein and chamber of the egg which reflects the egg freshness were measured. To receive a method of nondestructive examination, using MATLAB image processing toolbox as a research tool to measure the area ratio of egg yolk, chamber height and length of the whole egg size. Analyzing the regression model between weight and chamber height, whole egg’s major-minor axis, the regression model between protein height and yolk area ratio, chamber height, etc. by SPSS; The egg weight and albumen height were selected to be characteristic parameter to establish the prediction model of fresh grade with DBN(Deep Belief Network), and the well trained network is used to estimate the degree of freshness of the corresponding target. Experimentally found that the correlation coefficients were 0.942 and 0.925 which made by the prediction model of weight and Albumen Height, and the DBN’s classification accuracy of fresh-ness grade is 93.3%. The results showed that the design of egg freshness prediction based on image processing data has high accuracy and low cost, which can be used to estimate egg freshness.

Publication Date

12-28-2017

First Page

103

Last Page

109

DOI

10.13652/j.issn.1003-5788.2017.12.021

Recommended Citation

Yingying, LIU and Nan, ZHONG (2017) "Research on prediction model of egg freshness based on image processing," Food and Machinery: Vol. 33: Iss. 12, Article 21.
DOI: 10.13652/j.issn.1003-5788.2017.12.021
Available at: https://www.ifoodmm.cn/journal/vol33/iss12/21

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