Quality Assessment Without Reference Images Based on Convolution Neural Network and Deep Forest

Yindong Chen; Chaofeng Li; Qingbing Sang

doi:10.3788/LOP56.111003

Laser & Optoelectronics Progress, Volume. 56, Issue 11, 111003(2019)

Quality Assessment Without Reference Images Based on Convolution Neural Network and Deep Forest

Yindong Chen¹, Chaofeng Li², and Qingbing Sang^1、*

Author Affiliations

¹ School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China

² Institute of Logistics Science & Engineering, Shanghai Maritime University, Shanghai 200135, China;

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Yindong Chen, Chaofeng Li, Qingbing Sang. Quality Assessment Without Reference Images Based on Convolution Neural Network and Deep Forest[J]. Laser & Optoelectronics Progress, 2019, 56(11): 111003

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Paper Information

Category: Image Processing

Received: Nov. 23, 2018

Accepted: Dec. 25, 2018

Published Online: Jun. 13, 2019

The Author Email: Qingbing Sang (sangqb@163.com)

DOI:10.3788/LOP56.111003

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology