Comparative Analysis of Edge Detection Techniques for Extracting Blood Vessels in Diabetic Retinopathy

2014 ◽  
pp. 465-472
Author(s):  
Sunita Sarangi ◽  
Arpita Mohapatra ◽  
Sukanta Kumar Sabut
Keyword(s):  
Diabetic Retinopathy ◽  
Comparative Analysis ◽  
Edge Detection ◽  
Blood Vessels ◽  
Detection Techniques

scholarly journals Automatic Diabetic Retinopathy Diagnosis using Prewitt Edge Detection & Color Mapping from Fundus Imaging

2021 ◽  
Vol 10 (4) ◽  
pp. 19-23
Author(s):  
Megha Deshmukh ◽  
Vineeta Saxena Nigam
Keyword(s):  
Diabetic Retinopathy ◽  
Edge Detection ◽  
Blood Vessels ◽  
Rate System ◽  
Color Mapping ◽  
Fundus Imaging ◽  
Long Time ◽  
Mapping Techniques ◽  
High Level ◽  
Prewitt Edge Detection

Diabetic Retinopathy is a diabetic disease that directly affects the vision that causes damaged blood vessels at the back end of the eyes. It a complicated disease that cannot be recognized from normal eyes; a fundus imaging can reflect the impairments over the retina that causes partial or complete blindness that cannot be cured. It is mandatory for a routine examination that may lead to prevent from complete blindness because it can be prevented from current damaged blood vessels but it cannot be revert or treated. In the field of image processing; various diseases can be diagnosed automatically that saves humans life along with easiness for medical professionals. If a person pertains diabetes for a long time may have highest possibility for diabetic retinopathy. Here, the system has been proposed that can diagnose this disease with high level of accuracy with minimal false alarm rate. System uses Prewitt Edge Detection and Color Mapping techniques for recognizing diabetic retinopathy symptoms or damaged blood vessels from fundus imaging. Prewitt is highly sensitive for extracting impairments along with blood vessels and system is able to mask the unwanted area by using color correction tool.

Comparative Analysis of Edge Detection Techniques

2016 ◽  
Vol 3 (2) ◽  
pp. 8
Author(s):  
Kaur Navkamal ◽  
Kaur Beant ◽  
◽  
Keyword(s):  
Comparative Analysis ◽  
Edge Detection ◽  
Detection Techniques

scholarly journals Comparative analysis of Edge Detection techniques for SAR images

2016 ◽  
Vol 49 (1) ◽  
pp. 205-224 ◽  
Author(s):  
Felix Bachofer ◽  
Geraldine Quénéhervé ◽  
Thimm Zwiener ◽  
Michael Maerker ◽  
Volker Hochschild
Keyword(s):  
Comparative Analysis ◽  
Edge Detection ◽  
Sar Images ◽  
Detection Techniques

scholarly journals Fundus Image Analysis to Detect Abnormalities in Diabetic Retinopathy using Computer Aided Design Tools - A Review

2020 ◽  
Vol 9 (6) ◽  
pp. 224-232
Keyword(s):  
Image Processing ◽  
Diabetic Retinopathy ◽  
Early Detection ◽  
Blood Vessels ◽  
Computer Aided Design ◽  
Vision Loss ◽  
Early Stage ◽  
Human Beings ◽  
Fundus Image ◽  
Detection Techniques

Diabetic retinopathy is becoming a major threat to visual loss in human beings. Many researchers are working to develop early detection techniques, which may reduce the risk of vision loss using image-processing techniques like image enhancement and segmentation. Improving the quality of medical images to detect the disease at an early stage is crucial for further medication. It is gaining more focus with automated techniques for machine learning. Filtering and morphological operators enhance image contrast and interested region can be extracted using segmentation techniques from the fundus image of the retina. For feature analysis the optical disk, localization of blood vessels and segmentation are very useful to observe the parameters like area, length and perimeter of blood vessels etc. Algorithms for this analysis include preprocessing, segmentation, feature extraction and classification. This paper tries to give a detailed review of various image-processing methods used in early detection of diabetic retinopathy and future insights to develop algorithms, which reduces clinician’s time for diagnosis and pathogenesis.

scholarly journals A Review on Recent Developments for Detection of Diabetic Retinopathy

Scientifica ◽  
2016 ◽  
Vol 2016 ◽  
pp. 1-20 ◽  
Author(s):  
Javeria Amin ◽  
Muhammad Sharif ◽  
Mussarat Yasmin
Keyword(s):  
Diabetic Retinopathy ◽  
Blood Vessels ◽  
Morphological Changes ◽  
Fundus Images ◽  
Ongoing Research ◽  
Detection Techniques ◽  
Nonproliferative Diabetic Retinopathy ◽  
Manual Inspection ◽  
Computer Aided ◽  
Recent Developments

Diabetic retinopathy is caused by the retinal micro vasculature which may be formed as a result of diabetes mellitus. Blindness may appear as a result of unchecked and severe cases of diabetic retinopathy. Manual inspection of fundus images to check morphological changes in microaneurysms, exudates, blood vessels, hemorrhages, and macula is a very time-consuming and tedious work. It can be made easily with the help of computer-aided system and intervariability for the observer. In this paper, several techniques for detecting microaneurysms, hemorrhages, and exudates are discussed for ultimate detection of nonproliferative diabetic retinopathy. Blood vessels detection techniques are also discussed for the diagnosis of proliferative diabetic retinopathy. Furthermore, the paper elaborates a discussion on the experiments accessed by authors for the detection of diabetic retinopathy. This work will be helpful for the researchers and technical persons who want to utilize the ongoing research in this area.

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