A new wood microscopic image registration approach based on speeded up robust features （SURF）

ZHANG Guang-qun; WU Wei-zhi; WANG Hang-jun

doi:10.11833/j.issn.2095-0756.2012.04.018

Volume 29 Issue 4

Jul. 2012

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ZHANG Guang-qun, WU Wei-zhi, WANG Hang-jun. A new wood microscopic image registration approach based on speeded up robust features （SURF）[J]. Journal of Zhejiang A&F University, 2012, 29(4): 600-605. doi: 10.11833/j.issn.2095-0756.2012.04.018

Citation:

ZHANG Guang-qun, WU Wei-zhi, WANG Hang-jun. A new wood microscopic image registration approach based on speeded up robust features （SURF）[J]. Journal of Zhejiang A&F University, 2012, 29(4): 600-605. doi: 10.11833/j.issn.2095-0756.2012.04.018

A new wood microscopic image registration approach based on speeded up robust features （SURF）

doi: 10.11833/j.issn.2095-0756.2012.04.018

1.
School of Information Engineering，Zhejiang A & F University，Lin’an 311300，Zhejiang，China;
2.
Center for Forest Resource Monitoring of Zhejiang Province，Hangzhou 310020，Zhejiang，China;
3.
Department of Automation，University of Science and Technology of China，Hefei 230026，Anhui，China

More Information

Corresponding author: WANG Hang-jun
Received Date: 2011-09-19
Rev Recd Date: 2012-01-27
Publish Date: 2012-08-20

Abstract

To solve the problem of narrow fields for microscopes，a new method of microscopic image registration based on speeded up robust features （SURF） was developed. First，feature points were extracted using SURF，and corresponding matching points were found using the nearest neighbor method. Wrong matches were eliminated using the Random Sample Consensus （RANSAC） algorithm and bilateral matching. Then，transformed parameters were estimated using least squares techniques and matching the results. Finally，through interpolation，the registered image was achieved. Registration results of multiple wood images showed that the algorithm was robust. Regardless of whether the image is rotated，automatic registration can be achieved. The accuracy of our method is comparable with SIFT（scale-invariant feature transform） image registration method while registration is about 5 times faster. Therefore，algorithm is more real-time.［Ch，4 fig. 1 tab. 17 ref.］
- forest engineering,
- wood image,
- speeded up robust features （SURF）,
- image registration

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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A new wood microscopic image registration approach based on speeded up robust features （SURF）

1. School of Information Engineering，Zhejiang A & F University，Lin’an 311300，Zhejiang，China;

2. Center for Forest Resource Monitoring of Zhejiang Province，Hangzhou 310020，Zhejiang，China;

3. Department of Automation，University of Science and Technology of China，Hefei 230026，Anhui，China

Corresponding author: WANG Hang-jun

Received Date: 2011-09-19

Rev Recd Date: 2012-01-27

Publish Date: 2012-08-20

Key words:

Abstract: To solve the problem of narrow fields for microscopes，a new method of microscopic image registration based on speeded up robust features （SURF） was developed. First，feature points were extracted using SURF，and corresponding matching points were found using the nearest neighbor method. Wrong matches were eliminated using the Random Sample Consensus （RANSAC） algorithm and bilateral matching. Then，transformed parameters were estimated using least squares techniques and matching the results. Finally，through interpolation，the registered image was achieved. Registration results of multiple wood images showed that the algorithm was robust. Regardless of whether the image is rotated，automatic registration can be achieved. The accuracy of our method is comparable with SIFT（scale-invariant feature transform） image registration method while registration is about 5 times faster. Therefore，algorithm is more real-time.［Ch，4 fig. 1 tab. 17 ref.］

A new wood microscopic image registration approach based on speeded up robust features （SURF）

doi: 10.11833/j.issn.2095-0756.2012.04.018

Abstract

References

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通讯作者: 陈斌, bchen63@163.com

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