Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/4117
Title: Industrial visual inspection of lime granules by neural networks
Authors: Carvalho, P. 
Costa, N. 
Ribeiro, B. 
Dourado, A. 
Keywords: Automatic visual inspection; Elliptical objects localisation; Neural networks; Pulp and paper industry
Issue Date: 1998
Citation: Computers & Industrial Engineering. 35:3-4 (1998) 539-542
Abstract: Lime granule quality inspection is an important task in the pulp and paper industry. In this paper a new method, build-up on a neural network and a path search method, is introduced for lime granule automatic visual inspection. Several correction steps to Landau's method are also introduced.
URI: http://hdl.handle.net/10316/4117
DOI: 10.1016/s0360-8352(98)00153-3
Rights: openAccess
Appears in Collections:FCTUC Eng.Informática - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat
file797cde03341a46b68ff8f0dc45d31dee.pdf779.61 kBAdobe PDFView/Open
Show full item record

WEB OF SCIENCETM
Citations 50

1
checked on Oct 2, 2021

Page view(s)

211
checked on Oct 11, 2021

Download(s)

151
checked on Oct 11, 2021

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.