基于横切面微观构造图像的木材识别方法

doi:10.11707/j.1001-7488.20131116

Scientia Silvae Sinicae ›› 2013, Vol. 49 ›› Issue (11): 116-121.doi: 10.11707/j.1001-7488.20131116

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Wood Identification Method Based on Microstructure Images in Cross-Section

Liu Zihao¹, Qi Hengnian¹, Zhang Guangqun¹, Wang Hangjun²

1. School of Information Engineering, Zhejiang A & F University Lin'an 311300;
2. Tianmu College, Zhejiang A & F University Lin'an 311300

Received:2012-12-19 Revised:2013-06-21 Online:2013-11-25 Published:2013-11-26

Abstract

Abstract:

In this paper, a new method based on kernel principle component analysis(KPCA) and AdaBoost was proposed for wood identification. After wood images projecting into a high-dimensional space of KPCA, PCA method was used to extract features and compress those features. Then these well-prepared features were classified with Gentle AdaBoost. The experimental results showed that our method based on microstructure images in cross section had some good performances, such as higher discrimination, robustness and efficiency in running time.

Key words: kernel principle component analysis(KPCA), AdaBoost, image compression, wood identification, computer vision

CLC Number:

S781
TP391

Liu Zihao, Qi Hengnian, Zhang Guangqun, Wang Hangjun. Wood Identification Method Based on Microstructure Images in Cross-Section[J]. Scientia Silvae Sinicae, 2013, 49(11): 116-121.

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Wood Identification Method Based on Microstructure Images in Cross-Section

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