Please use this identifier to cite or link to this item:
https://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: | https://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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file1cf7ca1add2b445fbf181ab6afa8eb85.pdf | 313.78 kB | Adobe PDF | View/Open |
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