Titlebook: Digital Image Processing for Ophthalmology; Detection of the Opt Xiaolu Zhu,Rangaraj M. Rangayyan,Anna L. Ells Book 2011 Springer Nature Sw

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Detection of the Optic Nerve Head Using the HoughTransform,ause 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 edg

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Detection of the Optic Nerve Head Using Phase Portraits,ally close to the focal point of the central retinal vein and artery, a method is described to detect the center of the ONH via the detection of the blood vessels of the retina using Gabor filters [12, 63] and detection of convergence of the vessels using phase portrait modeling [61, 66, 67, 74]. Th

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Detection of the Optic Nerve Head Using Phase Portraits,lood vessels of the retina using Gabor filters [12, 63] and detection of convergence of the vessels using phase portrait modeling [61, 66, 67, 74]. The best-fitting point for the center of the ONH is chosen by an intensity-based condition. The sections of the book that provide descriptions of the various steps are labeled in Figure 6.1.

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https://doi.org/10.1007/978-1-349-12309-4.1 for the DRIVE images and 0.15 for the STARE images; the thresholds were determined by experimentation with several images from each dataset. The artifacts present in the thresholded results on the edges were removed by applying morphological opening and erosion filters. A mask was generated with the obtained effective region.

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Book 2011e various diseases that affect the eye, such as diabetic retinopathy and retinopathy of prematurity. A crucial preliminary step in the analysis of retinal images is the identification and localization of important anatomical structures, such as the optic nerve head (ONH), the macula, and the major v

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Detection of the Optic Nerve Head Using the HoughTransform,od 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.

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1930-0328 to diagnose various diseases that affect the eye, such as diabetic retinopathy and retinopathy of prematurity. A crucial preliminary step in the analysis of retinal images is the identification and localization of important anatomical structures, such as the optic nerve head (ONH), the macula, and t