Automatic visual quality assessment in optical fundus images
نویسندگان
چکیده
A method for automatically assessing the quality of retinal images is presented. It is based on the idea that images of good quality possess some common features that should help define a model of what a good ophthalmic image is. The proposed features are the histogram of the edge magnitude distribution in the image as well as the local histograms of pixel gray-scale values. Histogram matching functions are proposed and experiments show that these features help discriminate between good and bad images.
منابع مشابه
Procedure to detect anatomical structures in optical fundus images
We present an overview of the design and test of an image processing procedure for detecting all important anatomical structures in color fundus images. These structures are the optic disk, the macula and the retinal network. The algorithm proceeds through five main steps: (1) automatic mask generation using pixels value statistics and color threshold, (2) visual image quality assessment using ...
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 کاملAutomatic Optic Disc Center and Boundary Detection in Color Fundus Images
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...
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 کاملMorphological 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 کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001