摘要
In terms of the requirement of automatically sorting pearls, the pearl contour feature extraction and shape recognition algorithm are studied in this paper to reckon with the rapid identification of pearls shape online,and a monocular dynamic machine vision-based pearl shape detection device is designed. Through blowing, the pearl is suspended in a funnel shaped container and flipped rapidly in the device. The entire surface image of the pearl to be measured can be promptly grasped by the camera placed right above the funnel. The results of illumination experiments conducted from different angles indicate that the image contour acquired by the medium angle illumination is better extracted. The pearl shape test indicates that the method is incorporated with the inflatable suspension device to classify the pearls into seven types according to the national standard,and additionally the average error rate is confined under 5.38%. The shape characteristic of the pearl can be detected promptly and reliably, and accordingly the high-speed automatic sorting can be satisfied.
In terms of the requirement of automatically sorting pearls, the pearl contour feature extraction and shape recognition algorithm are studied in this paper to reckon with the rapid identification of pearls shape online,and a monocular dynamic machine vision-based pearl shape detection device is designed. Through blowing, the pearl is suspended in a funnel shaped container and flipped rapidly in the device. The entire surface image of the pearl to be measured can be promptly grasped by the camera placed right above the funnel. The results of illumination experiments conducted from different angles indicate that the image contour acquired by the medium angle illumination is better extracted. The pearl shape test indicates that the method is incorporated with the inflatable suspension device to classify the pearls into seven types according to the national standard,and additionally the average error rate is confined under 5.38%. The shape characteristic of the pearl can be detected promptly and reliably, and accordingly the high-speed automatic sorting can be satisfied.
作者
WANG Yuzong
DENG Fei
ZHAO Daxu
YE Jiaying
WANG Peixin
SHOU Guozhong
王毓综;邓飞;赵大旭;叶佳英;王佩欣;寿国忠(School of Information Engineering,Zhejiang Agricultural and Forestry University,Hangzhou311300,China;School of Engineering,Zhejiang Agricultural and Forestry University,Hangzhou311300,China;Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology Research,Zhejiang Agricultural and Forestry University,Hangzhou311300,China)
基金
the Foundation of Zhejiang Key Level1 Discipline of Forestry Engineering within the Research Project(No.2014lygcz018)
the Public Welfare Project of Zhejiang Science and Technology Department(No.2012C32021)
the Preresearch Project of the Research Center for Smart Agriculture and Forestry,Zhejiang Agricultural and Forestry University(No.2013ZHNL02)
the Scientific Research Foundation of Zhejiang Agricultural and Forestry University(No.2012FR070)
