Abstract—Retinal image analysis is one of the crucial topics in medical image processing. During the last three decades, people are trying to extract the different features (like blood vessels, optic disk, macula, fovea etc.) automatically from retinal image. Fovea is one of the important feature of a fundus retinal image. This paper present a simple and fast algorithm using Mathematical Morphology to find the fovea region. Proposed algorithm is based on the structure of the blood vessels and little bit information of the optic disk. We have tested our result on a publicly available DRIVE database and got a comparable results with a state of the art in this area
The aim of this paper is to devise an automatic algorithm locating the fovea center in retinal fundu...
Medical image analysis to aid in clinical diagnosis is one of the research areas currently drawing i...
The aim of this paper is to devise an automatic algorithm locating the fovea center in retinal fundu...
In this paper, we propose a simple yet robust unsupervised algorithm for automated localization of m...
At the center of the macula, fovea plays an important role in computer-aided diagnosis. To locate th...
Accurate optic disc (OD) segmentation and fovea detection in retinal fundus images are crucial for d...
Currently, medical image processing draws intense interests of scien- tists and physicians to aid in...
Of all the important small and medium-sized blood vessels of the human body, retinal blood vessels a...
Automatic fovea detection Computer-assisted image analysis The aim of this paper is to devise an aut...
Objective: Image processing technique is utilized in the medical field widely nowadays. Hence, there...
Automated fundus image analysis plays an important role in the computer aided diagnosis of ophthalmo...
The Computer Assisted Diagnosis systems could save workloads and give objective diagnostic to ophtha...
Segmentation of retinal blood vessel is an important step in the fundus image analysis. The resultin...
Optic disc segmentation is a prerequisite in automatic analysis of retinal disease in color fundus i...
The aim of this paper is to devise an automatic algorithm locating the fovea center in retinal fundu...
The aim of this paper is to devise an automatic algorithm locating the fovea center in retinal fundu...
Medical image analysis to aid in clinical diagnosis is one of the research areas currently drawing i...
The aim of this paper is to devise an automatic algorithm locating the fovea center in retinal fundu...
In this paper, we propose a simple yet robust unsupervised algorithm for automated localization of m...
At the center of the macula, fovea plays an important role in computer-aided diagnosis. To locate th...
Accurate optic disc (OD) segmentation and fovea detection in retinal fundus images are crucial for d...
Currently, medical image processing draws intense interests of scien- tists and physicians to aid in...
Of all the important small and medium-sized blood vessels of the human body, retinal blood vessels a...
Automatic fovea detection Computer-assisted image analysis The aim of this paper is to devise an aut...
Objective: Image processing technique is utilized in the medical field widely nowadays. Hence, there...
Automated fundus image analysis plays an important role in the computer aided diagnosis of ophthalmo...
The Computer Assisted Diagnosis systems could save workloads and give objective diagnostic to ophtha...
Segmentation of retinal blood vessel is an important step in the fundus image analysis. The resultin...
Optic disc segmentation is a prerequisite in automatic analysis of retinal disease in color fundus i...
The aim of this paper is to devise an automatic algorithm locating the fovea center in retinal fundu...
The aim of this paper is to devise an automatic algorithm locating the fovea center in retinal fundu...
Medical image analysis to aid in clinical diagnosis is one of the research areas currently drawing i...
The aim of this paper is to devise an automatic algorithm locating the fovea center in retinal fundu...