A novel edge detection approach based on backtracking search optimization algorithm (BSA) clustering


GÜNEN M. A. , ATASEVER Ü. H. , BEŞDOK E.

8th International Conference on Information Technology, ICIT 2017, Amman, Jordan, 17 - 18 May 2017, pp.116-122 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/icitech.2017.8079987
  • City: Amman
  • Country: Jordan
  • Page Numbers: pp.116-122

Abstract

© 2017 IEEE.Image edge information is very important in application areas such as machine learning, image processing, stereo vision, object tracking and pattern recognition. Intensity discontinuities or sudden intensity changes in a region are indicative of the edge region in that region. Although there are many approaches to detecting edge, generally intensity discontinuities or sudden intensity changes in a region are described as edge. In this study, we proposed a Backtracking Search (BSA) clustering based edge detection approach for noisy images. Proposed approach has two stages. In first stage, the edge map is calculated using the max-min filter defined in a window. In second stage, edge map is calculated via BSA based clustering with using a cost function.