Identification group of fertilized eggs and infertile eggs in early hatching stage based on machine vision
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(College of Engineering, Huazhong Agricultural University, Wuhan, Hubei 430070, China)

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    Abstract:

    In the early stage of incubation, the infertile eggs still have certain edible value, and if removed earlier, they can not only reduce economic losses, but also avoid the impact on other normally hatched eggs. In order to solve the problem of online detection of group eggs information,this paper uses machine vision technology to detect the fertilization information of group chicken eggs based on industrial egg trays for the first time. The whole eggs were directly put into the detection device from the incubator to obtain the group egg images, which reduced unnecessary damage to the eggs and improves the efficiency,the image was segmented and smoothing denoised,and RGB, HIS, gray mean and egg weight of it were extracted as characteristic parameters by establishing identification models of support vector machine (SVM) and BP neural network. The experimental results show that among the three models, the SVM model has higher stability and accuracy, reaching 81.7% and 96.7% on the 3rd and 7th days respectively, which provides a feasible method for online detection of group egg information.

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吴林峰,余怀鑫,祝志慧.基于机器视觉的孵化早期群体受精蛋鉴别[J].食品与机械英文版,2019,(4):152-156.

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History
  • Received:December 07,2018
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  • Online: November 26,2022
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