Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/4112
Title: An automatic system for dirt in pulp inspection using hierarchical image segmentation
Authors: Duarte, F. 
Araújo, H. 
Dourado, A. 
Keywords: Quality Control; Automatic Visual Inspection; Production; Pulp and Paper; Computer Vision; Pattern Recognition
Issue Date: 1999
Citation: Computers & Industrial Engineering. 37:1-2 (1999) 343-346
Abstract: An automatic visual inspection system designed for dirt inspection in the pulp and paper industry is presented. A new hierarchical region oriented segmentation algorithm is introduced. The algorithm is tuned according to the singular characteristics of the pulp samples. A criterion based on the maximisation of the local contrast is defined in order to perform a defect region segmentation of the pulp and paper images. Some optimisations are introduced to avoid an excessive computational load.
URI: http://hdl.handle.net/10316/4112
DOI: 10.1016/s0360-8352(99)00089-3
Rights: openAccess
Appears in Collections:FCTUC Eng.Informática - Artigos em Revistas Internacionais

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