Abstract:
Localization of macula from fundus image plays an important role to design an automated screening tool for detection of retinal diseases. The similar color and texture of...Show MoreMetadata
Abstract:
Localization of macula from fundus image plays an important role to design an automated screening tool for detection of retinal diseases. The similar color and texture of red lesions act as a bottleneck in accurate localization of macula in the fundus image. This paper presents a computer vision algorithm for automated and efficient localization of macula from low contrast and diabetic retinopathy affected fundus images. A statistical based model is used to detect macula in a specified region of fundus image which is designed using the geometric features of optic disc. The performance of the proposed algorithm of macula detection was tested on 200 normal/affected fundus images and results are significant. The computational efficiency and accurate localization of macula makes the proposed method competent enough to be used as a part of an automated screening tool for detection of retinal diseases.
Published in: 2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
Date of Conference: 18-20 October 2016
Date Added to IEEE Xplore: 05 December 2016
ISBN Information:
Electronic ISSN: 2157-023X