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Forest and Grassland Resources Research >

2014 , Vol. 0 >Issue 4: 131 - 136

DOI: https://doi.org/10.13466/j.cnki.lyzygl.2014.04.025

Technical Application

Evaluation of Decay in Wood Based on Tomographic Images

  • QI Juan ,
  • ZHU Jia ,
  • FENG Hailin ,
  • FANG Yiming ,
  • LI Guanghui
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  • 1. School of Information Engineering,Zhejiang A & F University,Hangzhou 311300,China;
    2. Key Lab of Forestery Intelligent Detection and Information Technology of Zhejiang Province,Hangzhou 311300,China;
    3. College of Engineering,Nanjing Agricultural University,Nanjing 210031,China

Received date: 2014-03-06

  Revised date: 2014-04-14

  Online published: 2020-11-23

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Abstract

This paper presents an automatic evaluation method for the wood decaying degree based on tomographic images.Firstly,the wood tomographic image was partitioned by Graph Cuts,and conversed to grayscale.Then,the cumulative histogram technology was used to obtain the defect part area of the grayscale image.Finally,the measured values were compared with the real values,and the automatic evaluation for the wood decaying degree was implemented.The wood samples containing artificial decay or nature decay were used in our experiments.The experimental results show that the accuracy of the method we proposed is high,and this study provides a new method for the intelligent processing of wood tomographic images and the online application of nondestructive detection technology.

Key words： non-destructive testing of wood; tomographic images; automatic evaluation of decaying degree; image processing

Cite this article

QI Juan , ZHU Jia , FENG Hailin , FANG Yiming , LI Guanghui . Evaluation of Decay in Wood Based on Tomographic Images[J]. Forest and Grassland Resources Research, 2014 , 0(4) : 131 -136 . DOI: 10.13466/j.cnki.lyzygl.2014.04.025

References

[1] Li L,Wang X P,Wang L H,et al.Acoustic tomography in relation to 2D ultrasonic velocity and hardness mappings [J].Wood Science and Technology,2012,46(1-3):551-561.
[2] Wang X P,Wiedenbeck J,Liang S Q.Acoustic tomography for decay detection in black cherry trees[J].Wood and Fiber Science,2009,41(2):127-137.
[3] 梁善庆,傅峰,胡娜娜,等.三种应力波断层成像诊断木材内部缺陷[C]//第二届中国林业学术大会,S11木材及生物质资源高效增值利用与木材安全论文集.北京:中国林学会,2009:457-462.
[4] 王立海,孙天用.基于应力波与X射线二维CT图像原木内部腐朽无损检测[J].森林工程,2011,27(6):26-29.
[5] 戚大伟.木材无损检测图像处理系统的研究[J].林业科学,2001,37(6):92-96.
[6] 吴良武,侯建华.基于物质灰度正态分布的CT断层图像匹配插值[J].中国生物医学工程学报,2012,31(2):231-236.
[7] 肖永顺,陈志强,张丽.工业CT断层图像缺陷检测的可视化方法研究[J].仪器仪表学报,2002,23(3):647-649.
[8] 吴东洋,业宁,徐波,等.基于Otsu算法的木材缺陷图像分割[J].计算机与数字工程,2012,10(40):116-118.
[9] 林国余,张为公.基于进化规划的最大类间方差的图像分割算法[J].传感技术学报,2006,1(19):179-182.
[10] 白雪冰,王科俊,邹丽晖.基于二维阈值向量的木材表面缺陷分割方法[J].东北林业大学学报,2008,9(36):53-55.
[11] 汪杭军,祁亨年.木材显微图像的局部水平集分割方法[J].中国图像图形学报,2012,2(17):236-240.
[12] 韩守东,赵勇.基于高斯超像素的快速Graph Cuts图像分割方法[J].自动化学报,2011,37(1):11-20.
[13] Boykov Yuri,Veksler Olga,Zabih Ramin.Fast approximate energy minimization vi-a Graph Cuts [J].IEEE Transactions on PAMI,2001,23(11):1222-1239.
[14] Boykov Yuri,Jolly Marie-Pierre.Interactive Graph Cuts for optimal boundary & region segmentation of objects in N-D images [C]//International Conference on Computer Vision,2001,I:105-112.
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