Automatic knot detection and measurements from X-ray CT images of wood: a review and validation of an improved algorithm on softwood samples

F Longuetaud, F Mothe, B Kerautret… - … and Electronics in …, 2012 - Elsevier
An algorithm to automatically detect and measure knots in CT images of softwood beams
was developed. The algorithm is based on the use of 3D connex components and a 3D …

Automated grading and defect detection: A review.

DT Pham, RJ Alcock - Forest Products Journal, 1998 - search.ebscohost.com
In a plant that manufactures wood products, such as lumber, dimension stock, or veneer
sheets, inspection of the products is a necessary part of the production process. At present …

Automatic visual defect detection using texture prior and low-rank representation

Q Huangpeng, H Zhang, X Zeng, W Huang - IEEE Access, 2018 - ieeexplore.ieee.org
Automatic surface detection for quality control has largely employed image processing
techniques, for example in steel and fabric defect inspection. There are rising demands in …

A Markov random field for rectilinear structure extraction in pavement distress image analysis

P Delagnes, D Barba - Proceedings., International Conference …, 1995 - ieeexplore.ieee.org
This paper deals with the detection and extraction of poorly contrasted rectilinear structures
in textured areas, using a Markov random field model. The application is in the analysis of …

A robust GM-estimator for the automated detection of external defects on barked hardwood logs and stems

L Thomas, L Mili - IEEE Transactions on Signal Processing, 2007 - ieeexplore.ieee.org
The ability to detect defects on hardwood trees and logs holds great promise for the
hardwood forest products industry. At every stage of wood processing, there is a potential for …

A prototype vision system for analyzing CT imagery of hardwood logs

D Zhu, RW Conners, DL Schmoldt… - IEEE Transactions on …, 1996 - ieeexplore.ieee.org
To fully optimize the value of material produced from a hardwood log requires information
about type and location of internal defects in the log. This paper describes a prototype vision …

Nondestructive evaluation of hardwood logs: CT scanning, machine vision and data utilization

DL Schmoldt, LG Occena, A Lynn Abbott… - … Testing and Evaluation, 1998 - Taylor & Francis
Sawing of hardwood logs still relies on relatively simple technologies that, in spite of their
lack of sophistication, have been successful for many years due to wood's traditional low …

Computer reconstruction of pine growth rings using MRI

S Morales, A Guesalaga, MP Fernández… - Magnetic Resonance …, 2004 - Elsevier
This work explores the use of magnetic resonance imaging (MRI) for nondestructive
determination of wood characteristics and for 3D wood modeling. In this context, one of the …

Least-modules estimates for spatial autoregression coefficients

VB Goryainov - Journal of Computer and Systems Sciences …, 2011 - Springer
For the process of spatial autoregression of order (1, 1), the least-modules estimates were
found to be asymptotically normal and the relative asymptotic efficiency of these estimates …

Оценки наименьших модулей коэффициентов пространственной авторегрессии

ВБ Горяинов - Известия Российской академии наук. Теория и …, 2011 - elibrary.ru
Для процесса пространственной авторегрессии порядка (1, 1) установлена
асимптотическая нормальность оценок наименьших модулей, вычислена …