A machine vision system for automatic detection of parasites Edotea magellanica in shell-off cooked clam Mulinia edulis
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- 作者：Pablo A. Coelhoa ; b ; pcoelho@udec.cl" class="auth_mail" title="E-mail the corresponding author ; Sergio N. Torresa ; b ; sertorre@udec.cl" class="auth_mail" title="E-mail the corresponding author ; Wagner E. Ramí ; reza ; b ; waramirez@udec.cl" class="auth_mail" title="E-mail the corresponding author ; Pablo A. Gutié ; rrezb ; pablogutierrez@udec.cl" class="auth_mail" title="E-mail the corresponding author ; Carlos A. Toroa ; b ; ctoron@udec.cl" class="auth_mail" title="E-mail the corresponding author ; Jose G. Sotob ; jsotop@udec.cl" class="auth_mail" title="E-mail the corresponding author ; Daniel G. Sbarbaroa ; dsbarbar@udec.cl" class="auth_mail" title="E-mail the corresponding author ; Jorge E. Pezoaa ; b ; jpezoa@udec.cl" class="auth_mail" title="E-mail the corresponding author
- 关键词：Mulinia edulis ; Edotea magellanica ; Clams ; Optoelectronic imaging ; Machine vision ; Image processing ; Parasite detection ; Real time classification
- 刊名：Journal of Food Engineering
- 出版年：2016
- 出版时间：July 2016
- 年：2016
- 卷：181
- 期：Complete
- 页码：84-91
- 全文大小：1314 K
文摘
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We developed a machine vision system for detecting a parasite in a clam in real time.
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We developed a novel online flattening system to uniform tissue thickness.
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The prototype machine vision system was built and tested in the industry.
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Parasite detection is carried out by a binary decision tree that analyzes images.
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The system uses transillumination to detect parasite inside the clams.