Please use this identifier to cite or link to this item:
https://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: | https://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 |
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file797cde03341a46b68ff8f0dc45d31dee.pdf | 779.61 kB | Adobe PDF | View/Open |
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