Detection and Quantification of Exudates in Color Fundus Image
نویسنده
چکیده
A new method for the detection of blood vessels that improves the detection of exudates in fundus photographs. The method starts with pre-processing to enhance the input image. The initial estimation of exudates is obtained by segmenting the optic disc and blood vessels from the fundus image. In order to segment the optic disc and blood vessel separate algorithm were used. First, optic disc is segmented by using the circular Hough transform. Then vessel detection algorithm is used to detect the blood vessel in the image. The extracted blood vessel tree and optic disc could be subtracted from the over segmented image to get an initial estimate of exudates. The final estimation of exudates can then be obtained by morphological reconstruction based on the appearance of exudates. This blood vessel method improves the detection of exudates in the color fundus image.
منابع مشابه
Morphological Exudate Detection in Retinal Images using PCA-based Optic Disc Removal
Diabetic retinopathy lesion detection such as exudate in fundus image of retina can lead to early diagnosis of the disease. Retinal image includes dark areas such as main blood vessels and retinal tissue and also bright areas such as optic disk, optical fibers and lesions e.g. exudate. In this paper, a multistage algorithm for the detection of exudate in foreground is proposed. The algorithm se...
متن کاملDetection of Blood Vessels in Color Fundus Images using a Local Radon Transform
Introduction: This paper addresses a method for automatic detection of blood vessels in color fundus images which utilizes two main tools: image partitioning and local Radon transform. Material and Methods: The input images are firstly divided into overlapping windows and then the Radon transform is applied to each. The maximum of the Radon transform in each window corresponds to the probable a...
متن کاملAutomatic Detection of Microaneurysms in Color Fundus Images using a Local Radon Transform Method
Introduction: Diabetic retinopathy (DR) is one of the most serious and most frequent eye diseases in the world and the most common cause of blindness in adults between 20 and 60 years of age. Following 15 years of diabetes, about 2% of the diabetic patients are blind and 10% suffer from vision impairment due to DR complications. This paper addresses the automatic detection of microaneurysms (MA...
متن کاملA Study on Automatic Segmentation of Optic Disc in Retinal Fundus Images
Diabetic Retinopathy (DR) is one of the main causes of vision loss in the world among patients suffering from diabetes. DR is a chronic eye disease, which can be controlled by regular checkup & treatment. If left untreated, loss of vision occurs gradually and become blind. The detection and diagnosis of DR is important. DR is characterized by its features like, micro aneurysms (MAs), hemorrhage...
متن کاملExudate Detection and Feature Extraction Using Active Contour Model and Sift in Color Fundus Images
In the world, Diabetic Retinopathy is the leading cause of vision loss. Early symptoms of this disease are exudates, so early diagnosis and treatment at right time is very important to prevent blindness. In this paper the Active contour model (ACM) is implemented to detect exudates and it is used to obtain accurate borders of lesions, and then the local features of detected exudates are extract...
متن کامل