A microwave tomographic system for wood characterization in the forest products industry

Abstract Nondestructive testing and evaluation techniques able to extract information about the internal structure of the samples under test are very important in the wood industry. Microwave imaging systems have been considered for a long time promising apparatuses for this task. In this framework, approaches exploiting the full scattering phenomena for creating images of the distributions of the dielectric properties of the targets have been developed in the last few years. In this paper, a prototype of microwave tomographic system is presented and several experimental validation confirming its suitability for the use in the wood and forest product industry are reported.

[1]  P. M. Berg,et al.  Contrast Source Inversion Method: State of Art , 2001 .

[2]  David Colton,et al.  Inverse Scattering , 2015, Handbook of Mathematical Methods in Imaging.

[3]  S.C. Hagness,et al.  A confocal microwave imaging algorithm for breast cancer detection , 2001, IEEE Microwave and Wireless Components Letters.

[4]  Saeed Ur Rehman,et al.  Dielectric measurement of logs for improved internal imaging , 2011, 2011 Fifth International Conference on Sensing Technology.

[5]  R. Lappalainen,et al.  Combined acoustic and electric method for monitoring wood drying process: A review , 2010 .

[6]  D. Wu,et al.  Remote inspection of wood with lock-in-thermography , 1996 .

[7]  Matteo Pastorino,et al.  An inexact-Newton method for short-range microwave imaging within the second-order Born approximation , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[8]  P.M. van den Berg,et al.  Microwave-tomographic imaging of the high dielectric-contrast objects using different image-reconstruction approaches , 2005, IEEE Transactions on Microwave Theory and Techniques.

[9]  Jean-Yves Dauvignac,et al.  An inverse scattering method based on contour deformations by means of a level set method using frequency hopping technique , 2003 .

[10]  Muhammad Adnan Elahi,et al.  Confocal Microwave Imaging , 2016 .

[11]  Voichita Bucur,et al.  TECHNIQUES FOR HIGH RESOLUTION IMAGING OF WOOD STRUCTURE , 2004 .

[12]  H. Berndt,et al.  High-resolution ultrasonic imaging of wood , 1999, Wood Science and Technology.

[13]  L. Bååth,et al.  Microwave polarimetry tomography of wood , 2005, IEEE Sensors Journal.

[14]  Johan Oja,et al.  Sapwood moisture-content measurements in Pinus sylvestris sawlogs combining X-ray and three-dimensional scanning , 2010 .

[15]  Lars Hansson,et al.  Determination of wood moisture properties using a CT-scanner in a controlled low-temperature environment , 2012 .

[16]  Claudio Estatico,et al.  Microwave imaging for nondestructive testing of dielectric structures : Numerical simulations using an inexact newton technique , 2007 .

[17]  S. Nordebo,et al.  A method for under-bark detection of the wood grain angle radial dependence , 2007 .

[18]  Lars B. Bååth,et al.  Microwave polarimetry based wood scanning , 2000 .

[19]  M. Pastorino,et al.  A Novel Microwave Imaging Approach Based on Regularization in $L^{p}$ Banach Spaces , 2012, IEEE Transactions on Antennas and Propagation.

[20]  Matteo Pastorino,et al.  Reconstruction algorithms for electromagnetic imaging , 2004, IEEE Transactions on Instrumentation and Measurement.

[21]  M. I. Dinator,et al.  The use of linear attenuation coefficients of Gamma radiation for detecting knots in Pinus radiata , 1999 .

[22]  Matteo Pastorino,et al.  Electromagnetic inversion with the multiscaling inexact Newton method—experimental validation , 2011 .

[23]  Matteo Pastorino,et al.  A New Microwave Axial Tomograph for the Inspection of Dielectric Materials , 2006, IEEE Transactions on Instrumentation and Measurement.

[24]  Mandy Berg,et al.  Nondestructive Characterization and Imaging of Wood , 2003, Holz als Roh- und Werkstoff.

[25]  S. Grundberg,et al.  Classification of scots pine (Pinus sylvestris) knots in density images from CT scanned logs , 2007, Holz als Roh- und Werkstoff.

[26]  M. Pastorino,et al.  An Inexact Newton Method for Microwave Reconstruction of Strong Scatterers , 2006, IEEE Antennas and Wireless Propagation Letters.

[27]  Andrea Massa,et al.  A two-step iterative inexact-Newton method for electromagnetic imaging of dielectric structures from real data , 2005 .

[28]  Matteo Pastorino,et al.  Microwave Imaging: Pastorino/Imaging , 2010 .

[29]  D. Pommerenke,et al.  Portable Real-Time Microwave Camera at 24 GHz , 2012, IEEE Transactions on Antennas and Propagation.

[30]  Puyan Mojabi,et al.  Enhancement of Gauss–Newton Inversion Method for Biological Tissue Imaging , 2013, IEEE Transactions on Microwave Theory and Techniques.

[31]  C. Pichot,et al.  Microwave imaging-complex permittivity reconstruction with a Levenberg-Marquardt method , 1997 .

[32]  Chiang Ching Shan Microwave Imaging , 1979, 1979 9th European Microwave Conference.

[33]  Grigoriy I. Torgovnikov,et al.  Dielectric Properties of Wood and Wood-Based Materials , 1993, Springer Series in Wood Science.

[34]  Magda El-Shenawee,et al.  Efficient Microwave Imaging Algorithm Based on Hybridization of the Linear Sampling and Level Set Methods , 2013, IEEE Transactions on Antennas and Propagation.

[35]  P. H. Steele,et al.  Locating knots in wood with an infrared detector system , 1998 .

[36]  G. Franceschetti,et al.  On the degrees of freedom of scattered fields , 1989 .

[37]  Matteo Pastorino,et al.  A reconstruction procedure for microwave nondestructive evaluation based on a numerically computed Green's function , 2003, IEEE Transactions on Instrumentation and Measurement.

[38]  Abbas Semnani,et al.  Two-Dimensional Microwave Imaging Based on Hybrid Scatterer Representation and Differential Evolution , 2010, IEEE Transactions on Antennas and Propagation.

[39]  Matteo Pastorino,et al.  Short-Range Image-Based Method for the Inspection of Strong Scatterers Using Microwaves , 2006, IEEE Transactions on Instrumentation and Measurement.

[40]  Guangdong Pan,et al.  Application of the Multiplicative Regularized Gauss–Newton Algorithm for Three-Dimensional Microwave Imaging , 2012, IEEE Transactions on Antennas and Propagation.

[41]  J. Correa,et al.  Knots detection in wood using microwaves , 2005, Wood Science and Technology.

[42]  Matteo Pastorino,et al.  Microwave imaging within the second-order Born approximation: stochastic optimization by a genetic algorithm , 2001 .

[43]  Theodoros D. Tsiboukis,et al.  An inverse scattering technique for microwave imaging of binary objects , 2002 .

[44]  Matteo Pastorino,et al.  Impact of Background Noise on Dielectric Reconstructions Obtained by a Prototype of Microwave Axial Tomograph , 2012, IEEE Transactions on Instrumentation and Measurement.

[45]  J. L. Sandoz Proceedings : NDT 1996 : 10th International Symposium on Nondestructive Testing of Wood, Lausanne, Switzerland, August 26-27-28, 1996, [organized by] Swiss Federal Institute of Technology, Chair of Timber Construction , 1996 .

[46]  Zhong Qing Zhang,et al.  Active microwave imaging. I. 2-D forward and inverse scattering methods , 2002 .