Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/4106
Title: A vision-based system for automatic growing ring detection and measurement
Authors: Vaz, C. 
Carvalho, P. 
Duarte, F. 
Dourado, A. 
Keywords: Automatic visual inspection and measurement; Automatic scale definition; Adaptive image segmentation; Cross-entropy
Issue Date: 2004
Citation: Computers & Industrial Engineering. 46:2 (2004) 347-354
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.
URI: http://hdl.handle.net/10316/4106
Rights: openAccess
Appears in Collections:FCTUC Eng.Informática - Artigos em Revistas Internacionais

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