Designing edge detection filters using Particle Swarm Optimization
Paper in proceedings, 2010

This paper presents a novel edge detection method based on Particle Swarm Optimization. Unlike classical filters that are set by intuitive knowledge, a new filter is proposed on the basis of evolutionary computation. A proper synthetic training image and its edge map are used to find an optimum edge filter. The advantage of this method is that an effective edge detection filter can be easily constructed. Provided results certify that our proposed method outperforms commonly used edge detection algorithms.

Author

Mohammad Alipoor

Chalmers, Signals and Systems

18th Iranian Conference on Electrical Engineering (ICEE), 2010

Areas of Advance

Information and Communication Technology

Subject Categories

Computer Systems

More information

Created

10/8/2017