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

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Cataloluk H., Celebi F. V.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol.73, pp.22-30, 2018 (SCI-Expanded, Scopus)

• Publication Type: Article / Article
• Volume: 73
• Publication Date: 2018
• Doi Number: 10.1016/j.engappai.2018.04.027
• Journal Name: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
• Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Page Numbers: pp.22-30
• Ankara Yıldırım Beyazıt University Affiliated: No

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.