A novel hybrid model for two-phase image segmentation: GSA based Chan-Vese algorithm


Cataloluk H., Celebi F. V.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol.73, pp.22-30, 2018 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 73
  • Publication Date: 2018
  • Doi Number: 10.1016/j.engappai.2018.04.027
  • Title of Journal : ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
  • Page Numbers: pp.22-30

Abstract

The active contours without edges model of Chan and Vese (Chan and Vese, 2001), which has been accepted for two-phase image segmentation is one of the most widely-used methods. It is a region-based segmentation model that utilizes the techniques of curve evolvement and the level set method.