Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48814
Title: Dynamic thresholding technique for detection of hemorrhages in retinal images
Authors: Sharma, Akhilesh
Dutta, Malay Kishore
Singh, Anushikha
Parthasarathi, M.
Travieso, Carlos M. 
UNESCO Clasification: 3314 Tecnología médica
Keywords: Medical image processing
Fundus image
Diabetic Retinopathy
Hemorrhages
Thresholding
Binarization
Issue Date: 2014
Journal: 2014 7th International Conference on Contemporary Computing, IC3 2014
Conference: 2014 7th International Conference on Contemporary Computing, IC3 2014 
Abstract: The paper proposes a dynamic thresholding based image processing technique for the detection of hemorrhages in retinal images. The algorithm uses the information about color and size of hemorrhages as a tool for classifying hemorrhages from other dark lesions present in the retinal images. The algorithm uses the concepts of contrast enhancement, background estimation and intensity variation at edges that is gradient magnitude information supported by some morphological operations. The algorithm follows a simple approach of step by step removal of unwanted features from targeted images using concepts of thresholding and morphology without compromising with accuracy and time of execution. The experimental results indicate that hemorrhages are detected with good accuracy in the retinal images.
URI: http://hdl.handle.net/10553/48814
ISBN: 9781479951734
DOI: 10.1109/IC3.2014.6897158
Source: 2014 7th International Conference on Contemporary Computing, IC3 2014 (6897158), p. 113-116
Appears in Collections:Actas de congresos
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