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A Hybrid Inspection Method for Surface Defect Classification

  • Mengxin Li
  • Chengdong Wu
  • Yang Cao
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 56)

Abstract

A vision-based inspection method based on rough set theory, fuzzy set and BP algorithm is presented. The rough set method is used to remove redundant features for its data analysis and procession ability. The reduced data is fuzzified to represent the feature data in a more suitable form as input data of a BP network classifier. The classifier is optimised using uniform design. By the experimental research, the hybrid method shows good classification accuracy and short running time, which are better than the results using BP network and neural network with fuzzy input.

Keywords

Vision-Based Inspection Classification Fuzzy Rough Set Neural Network Uniform design 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Mengxin Li
    • 1
  • Chengdong Wu
    • 2
  • Yang Cao
    • 1
  1. 1.Faculty of Information and Control EngineeringShenyang Jianzhu UniversityShenyangChina
  2. 2.Northeastern UniversityShenyangChina

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