Retinal Vessel Segmentation via Structure Tensor Coloring and Anisotropy Enhancement
نویسندگان
چکیده
منابع مشابه
Automatic Retinal Vessel Segmentation
Diabetic Retinopathy is the most common cause of blindness in the working population of the western world and is very common among people who suffer from diabetes. Fortunately, during a clinical examination an ophthalmologist is able to determine the onset of the disease by taking certain features of the retinal vessels of the fundus into account. These features include the narrowing of vessels...
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Retinal fundus images are used in the diagnosis and treatment of many eye conditions, such as diabetic retinopathy and glaucoma. During a clinical examination, an ophthalmologist is able to determine the onset of disease by taking certain features of the retinal vessels of the fundus into account. Often the ophthalmologist will need to select what parts of a retinal fundus image constitute vess...
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This paper presents a method for automatic segmentation of blood vessels in retinal images. The method is based on vessel tracking technique. The key idea of the method is that first a set of seed points (center of vessel cross sections) is extracted. Then, the seed points are connected to establish the vessel skeleton. Finally, the false vessel point are rejected by resorting to a hypothesis-v...
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Automated extraction of retinal vessels play an important role in the diagnosis of a wide range of retinal diseases and also for diagnosing complications due to cardiovascular diseases, stroke and hypertension. The blood vessels of the retina are a complex network and manual segmentation of them is a prolong and tedious task which requires high skills and training. In this paper, a novel method...
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ژورنال
عنوان ژورنال: Symmetry
سال: 2017
ISSN: 2073-8994
DOI: 10.3390/sym9110276