Fuzzy Rule Iterative Feature Selection (FRIFS) with Respect to the Choquet Integral Apply to Fabric Defect Recognition

An iterative method to select suitable features in an industrial fabric defect recognition context is proposed in this paper. It combines a global feature selection method based on the Choquet integral and a fuzzy linguistic rule classifier. The experimental study shows the wanted behaviour of this approach: the feature number decreases whereas the recognition rate increases. Thus, the number of generated fuzzy rules is reduced.

• Type: Conference
• Year: 2008
• Where: ACIVS
• Authors: Emmanuel Schmitt, Vincent Bombardier, Laurent Wendling
• Keywords: ACIVS 2008, Computer Vision, Defect Recognition Context, Feature Selection Method, Fuzzy Linguistic Rule