A review of research on wood recognition technology

WANG Hang-jun; ZHANG Guang-qun; QI Heng-nian; LI Wen-zhu

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Volume 26 Issue 6

Dec. 2009

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Article Navigation > Journal of Zhejiang A&F University > 2009 > 26(6): 896-902

WANG Hang-jun, ZHANG Guang-qun, QI Heng-nian, LI Wen-zhu. A review of research on wood recognition technology[J]. Journal of Zhejiang A&F University, 2009, 26(6): 896-902.

Citation:

WANG Hang-jun, ZHANG Guang-qun, QI Heng-nian, LI Wen-zhu. A review of research on wood recognition technology[J]. Journal of Zhejiang A&F University, 2009, 26(6): 896-902.

A review of research on wood recognition technology

1.
School of Information Engineering，Zhejiang Forestry College，Lin’an 311300，Zhejiang，China

More Information

Corresponding author: WANG Hang-jun
Publish Date: 2009-12-20

Abstract

Three traditional methods and database searching method of wood recognition were introduced. Then the advantages of the method of wood recognition based on computer vision were pointed out. According to the recognition process，this method was divided into three styles：type，feature and classifier. Finally，five aspects for future research in the semantic features extraction，combination of semantic features and texture features，tree species fingerprint search，non-slicing recognition and equipment development to identify were put forward.［Ch，1 fig. 40 ref.］
- forest engineering,
- wood recognition,
- traditional identification methods,
- review,
- computer vision,
- image features,
- classifier

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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

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A review of research on wood recognition technology

1. School of Information Engineering，Zhejiang Forestry College，Lin’an 311300，Zhejiang，China

Corresponding author: WANG Hang-jun

Publish Date: 2009-12-20

Key words:

Abstract: Three traditional methods and database searching method of wood recognition were introduced. Then the advantages of the method of wood recognition based on computer vision were pointed out. According to the recognition process，this method was divided into three styles：type，feature and classifier. Finally，five aspects for future research in the semantic features extraction，combination of semantic features and texture features，tree species fingerprint search，non-slicing recognition and equipment development to identify were put forward.［Ch，1 fig. 40 ref.］

WANG Hang-jun, ZHANG Guang-qun, QI Heng-nian, LI Wen-zhu. A review of research on wood recognition technology[J]. Journal of Zhejiang A&F University, 2009, 26(6): 896-902.

Citation:

WANG Hang-jun, ZHANG Guang-qun, QI Heng-nian, LI Wen-zhu. A review of research on wood recognition technology[J]. Journal of Zhejiang A&F University, 2009, 26(6): 896-902.

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1. School of Information Engineering，Zhejiang Forestry College，Lin’an 311300，Zhejiang，China

Corresponding author: WANG Hang-jun

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1. School of Information Engineering，Zhejiang Forestry College，Lin’an 311300，Zhejiang，China

Corresponding author: WANG Hang-jun

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