Computational analysis of the human eye with applications [E-Book]

Includes bibliographical references and index.

Print version record.

Ch. 1. The biological and computational bases of vision / Hilary W. Thompson -- ch. 2. Computational methods for feature detection in optical images / Michael Dessauer and Sumeet Dua -- ch. 3. Computational decision support systems and diagnostic tools in ophthalmology : A schematic survey / Sumeet Dua and Mohit Jain -- ch. 4. Hyperspectral image analysis for oxygen saturation automated localization of the eye / Bahram Khoobehi and James M. Beach -- ch. 5. Automated localization of eye and cornea using snake and target-tracing function / Jen-Hong Tan [and others] -- ch. 6. Automatic diagnosis of glaucoma using digital fundus images / Rajendra Acharya, U. [and others] -- ch. 7. Temperature distribution inside the human eye with tumor growth / Ooi, E.H. and Ng, E.Y.K. -- ch. 8. The study of ocular surface temperature by infrared thermography : The principles, methodologies, and applications / Jen-Hong Tan [and others] -- ch. 9. Automated microaneurysm detection in fluorescein angiograms for diabetic retinopathy / Prerna Sethi and Hilary W. Thompson -- ch. 10. Computer-aided diagnosis of diabetic retinopathy stages using digital fundus images / Rajendra Acharya, U. [and others] -- ch. 11. Reliable transmission of retinal fundus images with patient information using encryption, watermarking, and error control codes / Myagmarbayar Nergui [and others] -- ch. 12. Temperature changes inside the human eye during LTKP / Ooi, E.H. and Ng, E.Y.K. -- ch. 13. Optical eye modeling and applications / Ying-Ling Chen [and others] -- ch. 14. Automating the diagnosis, stratification, and management of diabetic retinopathy using content-based image retrieval in an ocular telehealth network / Thomas P. Karnowski [and others].

Advances in semi-automated high-throughput image data collection routines, coupled with a decline in storage costs and an increase in high-performance computing solutions have led to an exponential surge in data collected by biomedical scientists and medical practitioners. Interpreting this raw data is a challenging task, and nowhere is this more evident than in the field of opthalmology. The sheer speed at which data on cataracts, diabetic retinopathy, glaucoma and other eye disorders are collected, makes it impossible for the human observer to directly monitor subtle, yet critical details. This book is a novel and well-timed endeavor to present, in an amalgamated format, computational image modeling methods as applied to various extrinsic scientific problems in ophthalmology. It is self-contained and presents a highly comprehensive array of image modeling algorithms and methodologies relevant to ophthalmologic problems. The book is the first of its kind, bringing eye imaging and multi-dimensional hyperspectral imaging and data fusion of the human eye, into focus. The editors are at the top of their fields and bring a strong multidisciplinary synergy to this visionary volume. Their "inverted-pyramid" approach in presenting the content and their focus on core applications will appeal to students and practitioners in the field

WorldCat record variable field(s) change: 650