The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, a robust and efficient histogram based template matching method for automatic detection of Optic Disc (OD) in retinal images to help ophthalmologists for diagnosis of retinal diseases is presented. Based on camera field of view (FOV) and image resolution, the OD size estimation algorithm for creation of specific size templates is proposed. Color plane histograms of OD region were used...
Segmentation of optic disk (OD) is a very important step in automatic Diabetic Retinopathy screening. In this paper, we presented a robust and novel template matching algorithm for automatic detection of OD in retinal images. The size of OD area depends on camera field of view and image resolution. Based on these criteria we formulated and presented OD size estimation algorithm and it is used to create...
Exudates are one of the abnormalities present on the retina which are used for identification of diseases like Diabetic Retinopathy and Macular Edema. There arises a need for automated and correct segmentation of exudates from digital fundus images. This paper proposes an automated computer vision technique for efficient exudates segmentation from fundus images. The proposed method segments the exudates...
Automatic feature detection in retinal fundus images is a fundamental issue to diagnosis eye diseases such as Glaucoma. For example, Optic Disc (OD) is a main feature for diagnosing retinal fundus diseases such as Glaucoma. This paper presents a novel algorithm for OD detection in retinal fundus images based on region growing. Image thresholding based on the entropy of the input image histogram and...
Exudates and drusens detection and measurement from the retina background makes a significant impact on the diagnosis of retinal pathologies. These diseases usually appear as cotton wall spots, yellowish exudates and drusens (macula degeneration). Information about illness severity can be inferred by the measurement of the sizes of the exudates and drusens and comparing them to the retina background...
Diabetic retinopathy, the most common diabetic eye disease, occurs when blood vessels in the retina change. Sometimes these vessels swell and leak fluid or even close off completely. In other cases, abnormal new blood vessels grow on the surface of the retina. Early detection can potentially reduce the risk of blindness. This paper presents an automated method for the detection of exudates in retinal...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.