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Automatic Detection of Optic Disc in Retinal Image by Using Keypoint Detection, Texture Analysis, and Visual Dictionary Techniques
المؤلفون المشاركون
Akyol, Kemal
Şen, Baha
Bayır, Şafak
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-03-27
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
With the advances in the computer field, methods and techniques in automatic image processing and analysis provide the opportunity to detect automatically the change and degeneration in retinal images.
Localization of the optic disc is extremely important for determining the hard exudate lesions or neovascularization, which is the later phase of diabetic retinopathy, in computer aided eye disease diagnosis systems.
Whereas optic disc detection is fairly an easy process in normal retinal images, detecting this region in the retinal image which is diabetic retinopathy disease may be difficult.
Sometimes information related to optic disc and hard exudate information may be the same in terms of machine learning.
We presented a novel approach for efficient and accurate localization of optic disc in retinal images having noise and other lesions.
This approach is comprised of five main steps which are image processing, keypoint extraction, texture analysis, visual dictionary, and classifier techniques.
We tested our proposed technique on 3 public datasets and obtained quantitative results.
Experimental results show that an average optic disc detection accuracy of 94.38%, 95.00%, and 90.00% is achieved, respectively, on the following public datasets: DIARETDB1, DRIVE, and ROC.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Akyol, Kemal& Şen, Baha& Bayır, Şafak. 2016. Automatic Detection of Optic Disc in Retinal Image by Using Keypoint Detection, Texture Analysis, and Visual Dictionary Techniques. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1100175
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Akyol, Kemal…[et al.]. Automatic Detection of Optic Disc in Retinal Image by Using Keypoint Detection, Texture Analysis, and Visual Dictionary Techniques. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1100175
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Akyol, Kemal& Şen, Baha& Bayır, Şafak. Automatic Detection of Optic Disc in Retinal Image by Using Keypoint Detection, Texture Analysis, and Visual Dictionary Techniques. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1100175
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1100175
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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