A vision-based system for automatic growing ring detection and measurement

Authors:
C. Vaz;P. Carvalho;F. Duarte;A. Dourado
Affiliations:
Departamento de Engenharia Informática da Universidade de Coimbra, CISUC--Centro de Informática e Sistemas da Universidade de Coimbra, Pólo II, Pinhal de Marrocos, P3030 Coimbra, Po ...;Departamento de Engenharia Informática da Universidade de Coimbra, CISUC--Centro de Informática e Sistemas da Universidade de Coimbra, Pólo II, Pinhal de Marrocos, P3030 Coimbra, Po ...;Departamento de Engenharia Informática da Universidade de Coimbra, CISUC--Centro de Informática e Sistemas da Universidade de Coimbra, Pólo II and Instituto Superior de Engenharia d ...;Departamento de Engenharia Informática da Universidade de Coimbra, CISUC--Centro de Informática e Sistemas da Universidade de Coimbra, Pólo II, Pinhal de Marrocos, P3030 Coimbra, Po ...
Venue:
Computers and Industrial Engineering - Special issue: Selected papers from the 27th international conference on computers & industrial engineering
Year:
2004

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Abstract

An automatic visual inspection system for wood growing ring identification and measurement is described. Given the irregular contrast distributions in wood samples, the identification of these elements is not straightforward. Furthermore, it is observed that many rings exhibit very narrow widths. To overcome these problems, several new methods are introduced, namely at the local image scale definition and at the image segmentation levels. First, local scales are automatically computed and applied for ring center identification. This information is then used to reconstruct the noisy image signal, which is segmented using a local minimum distance-minimum cross-entropy principle. The system uses a reduced and intuitive set of user defined parameters; for this reason, it is easy to tune.