A new method of edge detection based on PSO

  • Authors:

  • Dongyue Chen;Ting Zhou;Xiaosheng Yu

  • Affiliations:

  • College of Information Science & Engineering, Northeastern University, Shenyang, China;College of Information Science & Engineering, Northeastern University, Shenyang, China;College of Information Science & Engineering, Northeastern University, Shenyang, China

  • Venue:
  • ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Applying an edge detector to an image, in the ideal case, may obtain a set of connected curves which indicate the boundaries of objects. Actually edges in an image are a collection of pixels which are recognized as an edge in surface orientation. This paper proposes a new edge detect algorithm which uses PSO (Particle Swarm Optimization) for detection of best fitness curves in an image that represent boundaries of objects. To improve the speed of edge use the PSO on the pixels whose gradient grate than the threshold. Use image with simple geometric objects, with impulse noise levels and the image have complex texture to assess the system. Use this algorithm on the images with high noise levels to detect edge is more accurately than existing edge detector.