New Algorithms for Complex Fiber Image Recognition

  • Authors:
  • Yan Ma;Shun-Bao Li

  • Affiliations:
  • Dept. of Computer Science, Shanghai Normal University, Shanghai, China 200234;Dept. of Computer Science, Shanghai Normal University, Shanghai, China 200234

  • Venue:
  • AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents an automatic recognition approach for complex fiber images, including the binarization method based on fiber boundary continuity and variance, the corner detection algorithm based on chain codes, the recognition method based on the curvature similarity in the same fiber. The experimental results show that the most fibers can be recognized by using the proposed automatic recognition methods.