NDLI: Non-destructive detection on the fertility of injected SPF eggs in vaccine manufacture

Content Provider	IEEE Xplore Digital Library
Author	Qi-Lei Xu Feng-Ying Cui
Copyright Year	2014
Description	Author affiliation: Coll. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China (Qi-Lei Xu; Feng-Ying Cui)
Abstract	A non-destructive detection system based on machine vision was designed for identifying the fertility of eggs prior to virus cultivation. Specific imaging system and detection algorithm were presented. A method based on smallest univalve segment assimilating nucleus was introduced to distinguish the high-brightness speckle noise pixels in egg images since the high transmittance of holes in eggshell. After speckle noise elimination and egg blood vessels restored, the multi-layer feature extraction method was used to acquire the binary image including main blood vessels. Finally, fertility judgment was evaluated by calculating the percentage that blood vessel area occupies in the ROI image. The experimental results show the method achieved identification accuracies of 97.78%, average identification time of 0.109s. It is proved that the proposed method is feasible for automatic and unattended fertility judgment of eggs in vaccine manufacture.
Starting Page	1574
Ending Page	1579
File Size	774926
Page Count	6
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6852418
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fertility judgment Speckle noise de-noising Embryo Machine vision Noise Speckle Blood vessels Feature extraction Vaccine manufacture Non-destructive detection Biomedical imaging
Content Type	Text
Resource Type	Article

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