Accurately detection of retinal landmarks, like optic disc, is an important step in the computer aided diagnosis frameworks. This paper presents an efficient method for automatic detection of the optic disc’s center and estimating its boundary. The center and initial diameter of optic disc are estimated by employing an ANN classifier. The ANN classifier employs visual features of vessels and th...

in this paper, a novel matched filter based on a new kernel function with cauchy distribution is introduced to improve the accuracy ofthe automatic retinal vessel detection compared with other available matched filter‑based methods, most notably, the methods builton gaussian distribution function. several experiments are conducted to pick the best values of the parameters for the new designedfi...

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...

In this investigation a suitable algorithm for the detection of cracks in the pressure vessels is presented. The equations of motion for the vessel are obtained and transferred into the wavelet space in a simplified form resulted from time and position approximations. The locations of cracks are randomly distributed in different regions of the structure to cover the whole geometry of the pressu...

As compared with the totality of congenital malformations of the heart, anomalies of the coronary vessels are relatively rare. In the literature, anomalous origin of these vessels has been taken adequately into account. Less emphasis has been laid, however, on conditions such as congenital aneurysms of the coronary arteries which probably occur more frequently than is commonly believed. The fol...

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...

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...

Accurate detection of blood vessels from retina is an important job in computer aided diagnosis of Diabetic Retinopathy. The Matched filter is simple & effectively good method for vessel extraction. But Problem with that it recognizes vessels and non-vessels edges so it will detect false vessels. In this paper we introduce new extension of Matched Filter i.e. FDOG to extract the vessels. The MF...