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

Cataloluk, Hatice; Celebi, Fatih

doi:10.1016/j.engappai.2018.04.027

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

Cataloluk H., Celebi F. V.

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

Yayın Türü: Makale / Tam Makale
Cilt numarası: 73
Basım Tarihi: 2018
Doi Numarası: 10.1016/j.engappai.2018.04.027
Dergi Adı: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.22-30
Ankara Yıldırım Beyazıt Üniversitesi Adresli: Hayır

Özet

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.