Computational analysis of the Human Eye with applications complete book pdf free download. Computational analysis of the Human Eye with applications book is written by many authors and they contributed to every single chapter separately.
The human visual system, from photo receptors to higher-order processing of signals in the brain, is a remarkable example of the power of evolutionary processes acting over vast periods to develop a finely tuned system capable of complex recognition, recall, and execution of highly accurate tasks in space and time. In terms of genetics, physiology, and structure, the evolutionary pathway to higher vertebrate vision can be traced. In fact,it has been hypothesized that the development of a complex visual system preceded and provided the evolutionary substrate for the evolution of brain expansion that made possible higher cognitive functions in primates.Vertebrate vision is one of the most profound and illuminating examples illustrating the operation of evolutionary principles.3From using chipped stones to the technology of spacecraft and global computer networks, humans have relied on the exceptional powers of vision to survive, prosper in, predict, and, to some degree, control and reshape an often-challenging environment. The primacy of vision in the human experience is evidenced in our language: to “see” also means to understand,as does “to have the eyes opened.” Such definitions occur, not only in the English language, but also in the metaphors and figures of the speech of other languages as well. Humans are visual animals, and the loss of sight is a profound tragedy, which presents challenges to both the individual and society. Compassionate concern about devising applications to save and restore vision has driven biomedical vision researchers as much as the desire to understand the pure science of how something as complicated and wonderful as our vision can work. The computational scientist has also taken lessons from what we know of biological vision systems to base the development of algorithms for detecting three-dimensional (3D) features of the external world as detected by a two-dimensional (2D) array of detectors,whether they are solid-state photocells or biological cellular transducers of light energy. The understanding of biological vision from the viewpoints of these diverse themes has been one of the great intellectual adventures of our species. Vision research has resulted in a number of Nobel prizes in the medicine and physiology category, as well as significant therapies for sustaining our vision and novel algorithms for machine vision.
Computational analysis of the Human Eye with applications chapter names
Chapter 1. The Biological and Computational Bases of Vision
Chapter 2. Computational Methods for Feature Detection in Optical Images
Chapter 3. Computational Decision Support Systems and Diagnostic Tools in Ophthalmology
Chapter 4. Hyperspectral Image Analysis for Oxygen S aturation Automated Localization of the Eye
Chapter 5. Automated Localization of Eye and Cornea Using Snake and Target-Tracing Function Chapter 6. Automatic Diagnosis of Glaucoma Using Digital Fundus Images
Chapter 7. Temperature Distribution Inside the Human Eye with Tumor Growth
Chapter 8. The Study of Ocular Surface Temperature by Infrared Thermography: The Principles, Methodologies, and Applications
Chapter 9. Automated Micro aneurysm Detection in Fluoresce in Angiograms for Diabetic Retinopathy
Chapter 10. Computer-Aided Diagnosis of Diabetic Retinopathy Stages Using Digital Fundus Images
Chapter 11. Reliable Transmission of Retinal Fundus Images with Patient Information Using Encryption, Watermarking, and Error Control Codes.
Chapter 12. Temperature Changes Inside the Human Eye During LTKP
Chapter 13. Optical Eye Modeling and Applications
Chapter 14. Automating the Diagnosis, Stratification, and Management of Diabetic Retinopathy Using Content-Based Image Retrieval in an Ocular Telehealth Network
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