A Fully Convolutional Neural Network for Wood Defect Location and Identification

A Fully Convolutional Neural Network for Wood Defect Location and Identification

Defect detection on solid wood surface has two main problems: (1) the real-time performance of the available methods are poor despite good detection accuracy, and (2) the defect extraction process is complicated. Here, we propose a mixed, fully convolutional neural network (Mix-FCN) to detect the lo...

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Bibliographic Details
Main Authors: Ting He, Ying Liu, Chengyi Xu, Xiaolin Zhou, Zhongkang Hu, Jianan Fan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep learning
full convolutional neural network
transfer learning
wood defects detection
Online Access:https://ieeexplore.ieee.org/document/8812894/

Internet

https://ieeexplore.ieee.org/document/8812894/

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