Detection of knots using X-ray tomographies and deformable contours with simulated annealing

Cristhian, AC; Sanchez R.; Baradit E.

Abstract

The recognition of defects in the wood manufacture process is ever more necessary and fundamental. However, the utilization of robust techniques that will allow these machines to provide a high degree of reliability is still a matter for study. Images obtained with X-rays and other techniques are already being used in the wood industry. However, the challenge remains to develop robust detection methods for different species and considering their distinct conditions. In this article, we present a defect segmentation method, initially developed to detect wood knots in Pinus radiata, based on images taken with X-ray computerized tomographies. This process uses deformable contour techniques (snakes), basing their evolution on a simulated annealing search method. The results obtained are highly satisfactory with respect to other approaches and the methodology appears to be a robust method of defect detection in round lumber under different conditions.

Más información

Título según WOS: Detection of knots using X-ray tomographies and deformable contours with simulated annealing
Título según SCOPUS: Detection of knots using X-ray tomographies and deformable contours with simulated annealing
Título de la Revista: WOOD RESEARCH
Volumen: 53
Número: 2
Editorial: SLOVAK FOREST PRODUCTS RESEARCH INST
Fecha de publicación: 2008
Página de inicio: 57
Página final: 66
Idioma: English
Notas: ISI, SCOPUS