This paper proposes an improved You Only Look Once(YOLOv3)algorithm for automatically detecting damaged apples to promote the automation of the fruit processing *** the proposed method,a clustering method based on Rao...
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This paper proposes an improved You Only Look Once(YOLOv3)algorithm for automatically detecting damaged apples to promote the automation of the fruit processing *** the proposed method,a clustering method based on Rao-1 algorithm is introduced to optimize anchor box *** clustering method uses the intersection over the union to form the objective function and the most representative anchor boxes are generated for normal and damaged apple *** verify the feasibility and effectiveness of the proposed method,real apple images collected from the Internet are *** with the generic YOLOv3 and Fast Region-based Convolutional Neural Network(Fast R-CNN)algorithms,the proposed method yields the highest mean average precision value for the test ***,it is practical to apply the proposed method for intelligent apple detection and classification tasks.
Object classification and detection involve numerous applications like image processing, picture retrieval, security and surveillance, video communication, robot vision and observation. They are often classified based...
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We demonstrated the first transmission of 750-Mb/s 16QAM-OFDM signal over 1-km SMF-28 and 6-m air-link with 60-GHz ROF technology. The system improvement and low-power efficiency of RF transmitter are studied based on...
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ISBN:
(纸本)9781557528858
We demonstrated the first transmission of 750-Mb/s 16QAM-OFDM signal over 1-km SMF-28 and 6-m air-link with 60-GHz ROF technology. The system improvement and low-power efficiency of RF transmitter are studied based on the convolutional code.
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