Wood surface defect detection based on image fusion

Man-li LI; Peng ZHAO

doi:10.3788/YJYXS20163109.0882

您当前的位置：

首页 >

文章列表页 >

Wood surface defect detection based on image fusion

Display and Image | 更新时间：2020-07-07

- Wood surface defect detection based on image fusion
- Chinese Journal of Liquid Crystals and Displays Vol. 31, Issue 9, Pages: 882-888(2016)
- 作者机构：
  
  东北林业大学信息与计算机工程学院, 黑龙江哈尔滨 150040
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20163109.0882
  CLC： TP391.41
- Received：13 April 2016，
  
  Accepted：03 June 2016，
  
  Published：2016-09
- 稿件说明：
移动端阅览
Man-li LI, Peng ZHAO. Wood surface defect detection based on image fusion[J]. Chinese journal of liquid crystals and displays, 2016, 31(9): 882-888.
DOI：

Man-li LI, Peng ZHAO. Wood surface defect detection based on image fusion[J]. Chinese journal of liquid crystals and displays, 2016, 31(9): 882-888. DOI： 10.3788/YJYXS20163109.0882.

摘要

针对木板表面节子缺陷被染料染色后难以识别的问题，本文利用图像融合技术提出一种新的木板表面缺陷检测方法。该方法采集被染色木板的近红外图像和可见光图像，使用加权平均法、主成分分析（PCA）算法、小波变换、Laplacian金字塔变换等不同的融合算法对采集的近红外图像和可见光图像进行融合，然后对不同算法融合后的图像仔细观察分析和比对并计算其信息熵。实验结果证实，融合后的图像能够明显地辨别出染色后的木板缺陷，并且基于Laplacian金字塔算法的融合效果最好。

Abstract

This paper proposes a novel wood surface defect detection scheme based on image fusion to solve the detection of wood surface knots stained by colorants. This scheme picks up the infrared and visible images of the stained wood veneer. The weighted average scheme

PCA scheme

wavelet transform scheme and Laplacian pyramid scheme are used to fuse the original images. The fused images with different fusion schemes are compared and investigated carefully. Experiments indicate that fused images can identify the stained knots clearly

and the best outcomes are achieved by the Laplacian pyramid scheme.

关键词

Keywords

references

SIOMA A.Assessment of wood surface defects based on 3D image analysis[J]. Wood Research, 2015,60(3):339-350.

ZHANG X L,LI X F,FENG Y C.A new multifocus image fusion based on spectrum comparison[J]. Signal Processing ,2016,123:127-142.

赵鹏,浦昭邦,张田文.基于图像融合的动态轮廓线跟踪新方法[J].光学学报,2005,25(6):760-766.

ZHAO P,PU Z B,ZHANG T W.A new tracking method of dynamic contour based on image fusion[J]. Acta Optica Sinica ,2005,25(6):760-766.(in Chinese)

肖宾杰,殳伟群.基于图像融合的木板表面缺陷特征提取方法研究[J].计算机科学,2011,38(4):282-285.

XIAO B J,SHU W Q.Research on feature extraction of defects on wood surfaces based on image fusion[J]. Computer Science, 2011,38(4):282-285.(in Chinese)

LI H,MANJUNATH B S,MITRA S K.Multisensor image fusion using the wavelet transform[J]. Graphical Models and Image Processing, 1995,57(3):235-245.

贾永红.TM和SAR影像主分量变换融合法[J].遥感技术与应用,1998,13(1):46-49.

JIA Y H.Fusion of landsat TM and SAR images based on principal component analysis[J]. Remote Sensing Technology and Application ,1998,13(1):46-49.(in Chinese)

王宏,敬忠良,李建勋.多分辨率图像融合的研究与发展[J].控制理论与应用,2004,21(1):145-151.

WANG H,JING Z L,LI J X.Research and development of multiresolution image fusion[J]. Control Theory&Applications, 2004,21(1):145-151.(in Chinese)

BURT P,ADELSON E.The Laplacian pyramid as a compact image code[J]. IEEE Transactions on Communications, 1983,31(4):532-540.

TOET A.Multiscale contrast enhancement with applications to image fusion[J]. Optical Engineering, 1992,31(5):1026-1031.

PETROVIC V S,XYDEAS C S.Gradient-based multiresolution image fusion[J]. IEEE Transactions on Image Processing, 2004,13(2):228-237.

赵鹏,浦昭邦.基于形态学4子带分解金字塔的图像融合[J].光学学报,2007,27(1):40-44.

ZHAO P,PU Z B.Image fusion based on morphological 4-subband decomposition pyramid[J]. Acta Optica Sinica, 2007,27(1):40-44.(in Chinese)

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Infrared and visible image fusion algorithm based on structure-texture decomposition

Robust stitching method for borehole wall images under multi-interference imaging conditions

Defect detection of small object solder joints based on improved YOLOv7

Image defogging algorithm based on multi-scale residual feature fusion

Related Author

LI Qing-song

YANG Shen

WU Jin

HUANG Ze-feng

LI Qing-song

YANG Shen

HUANG Ze-feng

黄泽丰

Related Institution

School of Information Science and Engineering， Wuhan University of Science and Technology

Shandong Key Laboratory of Industrial Control Technology

Qingdao International Airport Group Co. Ltd.

School of Automation， Qingdao University

School of Mechanical and Electrical Engineering， Xi'an Technological University

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China 130033 Postal code：130033
Tel：0431-86176059 Email：yjxs@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰