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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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書目名稱Digital Image Processing for Ophthalmology
副標(biāo)題Detection of the Opt
編輯Xiaolu Zhu,Rangaraj M. Rangayyan,Anna L. Ells
視頻videohttp://file.papertrans.cn/280/279444/279444.mp4
叢書名稱Synthesis Lectures on Biomedical Engineering
圖書封面Titlebook: Digital Image Processing for Ophthalmology; Detection of the Opt Xiaolu Zhu,Rangaraj M. Rangayyan,Anna L. Ells Book 2011 Springer Nature Sw
描述Fundus images of the retina are color images of the eye taken by specially designed digital cameras. Ophthalmologists rely on fundus images 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 the major vascular arcades. Identification of the ONH is an important initial step in the detection and analysis of the anatomical structures and pathological features in the retina. Different types of retinal pathology may be detected and analyzed via the application of appropriately designed techniques of digital image processing and pattern recognition. Computer-aided analysis of retinal images has the potential to facilitate quantitative and objective analysis of retinal lesions and abnormalities. Accurate identification and localization of retinal features and lesions could contribute to improved diagnosis, treatment, and management of retinopathy. This book presents an introduction to diagnostic imaging of the retina and an overview of image pro
出版日期Book 2011
版次1
doihttps://doi.org/10.1007/978-3-031-01649-3
isbn_softcover978-3-031-00521-3
isbn_ebook978-3-031-01649-3Series ISSN 1930-0328 Series E-ISSN 1930-0336
issn_series 1930-0328
copyrightSpringer Nature Switzerland AG 2011
The information of publication is updating

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Plant Population Dynamics and Yieldause 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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Subjective Well-Being from Rich and PoorDigital image processing and pattern analysis techniques for the detection of the ONH in fundus images of the retina were described in the book. Two methods based on the Hough transform and phase portraits were described in Chapter 5 and Chapter 6, respectively.
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978-3-031-00521-3Springer Nature Switzerland AG 2011
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Synthesis Lectures on Biomedical Engineeringhttp://image.papertrans.cn/d/image/279444.jpg
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