Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/4113
Title: | An automatic optical sensor for vessels and fibbers quality inspection in pulp production | Authors: | Carvalho, P. Araújo, H. Dourado, A. |
Keywords: | Quality Control; Production Systems; Automatic Visual Inspection; Vision and Image Processing; Contrast Enhancement; Microscope Image Analyses; Pulp and Paper | Issue Date: | 1999 | Citation: | Computers & Industrial Engineering. 37:1-2 (1999) 355-358 | Abstract: | Wood quality assessment is an important issue in the pulp and paper industry. In this paper an automatic visual inspection system for wood structural quality measurement is described. To improve statistical image segmentation a new logarithm based global contrast enhancement technique is described. Region identification and reconstruction is performed based on local morphological operators with constrained merge operations. A measurement technique, build-up upon a constrained optimisation problem, is described for fibber wall width computation. The method proves computational efficiency. The described inspection system uses only two control parameters. | URI: | https://hdl.handle.net/10316/4113 | DOI: | 10.1016/S0360-8352(99)00092-3 | Rights: | openAccess |
Appears in Collections: | FCTUC Eng.Informática - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
fileac7125932e8e4c568c4865daeb533bb7.pdf | 304.15 kB | Adobe PDF | View/Open |
SCOPUSTM
Citations
4
checked on Nov 9, 2022
WEB OF SCIENCETM
Citations
20
4
checked on Sep 2, 2024
Page view(s) 50
589
checked on Sep 10, 2024
Download(s)
226
checked on Sep 10, 2024
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.