An automatic system for dirt in pulp inspection using hierarchical image segmen...

• Author(s): Duarte, F. ; Araújo, H. ; Dourado, A.
• Date: 1999
• Persistent ID: http://hdl.handle.net/10316/4112
• Origin: Estudo Geral - Universidade de Coimbra
• Subject(s): Quality Control; Automatic Visual Inspection; Production; Pulp and Paper; Computer Vision; Pattern Recognition
• Document Type: Article
• Language: English

Description

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. http://www.sciencedirect.com/science/article/B6V27-3XR260K-2T/1/aa6b716fc7193b3d447bff73516ce10d