A fast approach to human retina optic disc segmentation using fuzzy c-means level set evolution
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
JournalERAS (Journal of Engineering Research and Applied Science Publishing Group)
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The process of localization and segmentation of the optic disc (OD) plays a crucial role in automatic screening for eye disease. This paper presents a novel and simple iterative method for rapid, fully automatic localization and segmentation of the OD in retinal fundus images. Furthermore, this new method can find the boundary of the OD using the initial fuzzy clustering means algorithm. The proposed method employs a new level set evolution based on the fuzzy clustering algorithm. The proposed technique was compared, in terms of performance, with various methods in the literature, and the results were found to be conclusive and effective. The obtained results suggest that this OD segmentation technique is accurate in addition to being computationally inexpensive.
Açıklama
Anahtar Kelimeler
Automatic screening for eye disease, fuzzy clustering, level set method, optic disc, localization, segmentation
Kaynak
Journal of Engineering Research and Applied Science
WoS Q Değeri
Scopus Q Değeri
Cilt
6
Sayı
1
