Optic disc detection based on classification for retinal image

Author

Peipei Zang ; Benzheng Wei ; Yunfeng Xu ; Yilong Yin ; Qing Zhang ; Xianjing Meng

Author_Institution

Coll. of Sci. & Technol., Shandong Univ. of Traditional Chinese Med., Jinan, China

fYear

2014

fDate

14-16 Oct. 2014

Firstpage

890

Lastpage

895

Abstract

A classification method based on Optic Disc (OD) detection is proposed in this paper. It automatically generates a set of optimal features for classifying the OD areas and therefore eliminates the errors due to complicated feature extraction process of previous approaches. Validations on 4 public databases showed the proposed method is superior to existing work on both success rate and speed. The present method achieved an average success rate of 97.8%, (332 images out of 340 testing images). Moreover, OD detection could be completed within 1.04 seconds (need 1.04 ± 0.8) per image.

Keywords

biomedical optical imaging; eye; feature extraction; image classification; medical image processing; object detection; feature extraction process; optic disc detection; retinal image classification; Biomedical optical imaging; Databases; Feature extraction; Optical imaging; Presses; Retina; AdaBoost algorithm; Optic disc detection; classification; retinal image;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4799-5837-5

Type

conf

DOI

10.1109/BMEI.2014.7002898

Filename

7002898