Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Digital Image Processing for OphthalmologyDetection of the Optic Nerve Head Using the HoughTransform

Digital Image Processing for Ophthalmology: Detection of the Optic Nerve Head Using the... [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.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Digital Image Processing for OphthalmologyDetection of the Optic Nerve Head Using the HoughTransform

Loading next page...
 
/lp/springer-journals/digital-image-processing-for-ophthalmology-detection-of-the-optic-l1c9Fbw6jH

References (0)

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2011
ISBN
978-3-031-00521-3
Pages
43 –57
DOI
10.1007/978-3-031-01649-3_5
Publisher site
See Chapter on Publisher Site

Abstract

[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

There are no references for this article.