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I2GF-Net: Inter-layer Information Guidance Feedback Networks for Wood Surface Defect Detection in Complex Texture Backgrounds

Year of publication

2024

Authors

Luo, Qiwu; Xu, Wenlong; Su, Jiaojiao; Yang, Chunhua; Gui, Weihua; Silvén, Olli; Liu, Li

Organizations and authors

University of Oulu

Silvén Olli

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

IEEE transactions on instrumentation and measurement

Publisher

Article number

10570209

ISSN

Publication forum

Publication forum level

3

Open access

Open access in the publisher’s service

No

Self-archived

Yes

License of the self-archived publication

Muu lisenssi

Other information

Fields of science

Computer and information sciences

Keywords

Accuracy; complex texture backgrounds; Data mining; defect detection; Feature extraction; inter-layer information guidance; semantics; Surface texture; Visual surface defect detection; VISUALIZATION; wood surface defect

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1109/TIM.2024.3413144

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes