Access the full text.
Sign up today, get DeepDyve free for 14 days.
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
[The procedure designed and developed in the present work to detect the ONH using the Hough transform is summarized in the flowchart in Figure 5.1. Because the ONH usually appears as a circular region, an algorithm for the detection of circles may be expected to locate the ONH in a retinal fundus image [72]. In the present work, the Hough transform for the detection of circles is used. Before applying the Hough transform, methods for detecting edges are applied to obtain an edge map, which is used as the input to the Hough transform. The best-fitting circle for the ONH is chosen by using a method of intensity-based selection. The sections of the book that provide descriptions of the various steps are labeled in Figure 5.1. The step of selection of the best-fitting circular approximation of the ONH using the reference intensity is described in the present chapter.]
Published: Jan 1, 2011
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.