"This book is an innovative reference source for the latest academic material on the identification, treatment, and management methodologies of eye diseases and disorders. Highlighting a range of topics such as retinal prosthesis, ocular diseases, and ophthalmoscopy"--Provided by publisher.

• Title Page
• Copyright Page
• Editorial Advisory Board
• List of Contributors
• Table of Contents
• Preface
• Section 1: Diagnostics and Imaging
  • Chapter 1: A Review of Vessel Segmentation Methodologies and Algorithms
  • Chapter 2: Automatic Detection of Blood Vessel in Retinal Images Using Vesselness Enhancement Filter and Adaptive Thresholding
  • Chapter 3: Bloodless Technique to Detect Diabetes using Soft Computational Tool
  • Chapter 4: Significant Enhancement of Segmentation Efficiency of Retinal Images Using Texture-Based Gabor Filter Approach Followed by Optimization Algorithm
  • Chapter 5: Analogizing the Thinning Algorithm and Elicitation of Vascular Landmark in Retinal Images
  • Chapter 6: Principles of Binocular Stereoscopic Imaging
  • Chapter 7: Visual Perception from Object Scanning as Revealed by Electrooculography
  • Chapter 8: Case Study
  • Chapter 9: A Comparative Study on Diabetic Retinopathy Detection Using Texture-Based Feature Extraction Techniques
  • Chapter 10: A New EYENET Model for Diagnosis of Age-Related Macular Degeneration
  • Chapter 11: A Reversible Data Hiding Scheme for Efficient Management of Tele-Ophthalmological Data
  • Chapter 12: An Efficient and Lossless Cryptosystem for Security in Tele-Ophthalmology Applications Using Chaotic Theory
  • Chapter 13: Case Study
  • Chapter 14: Human Health Diagnosis System Based on Iris Features
  • Chapter 15: An Approach for Automatic Detection and Grading of Macular Edema
• Section 2: Drug Delivery and Design
  • Chapter 16: Bioactive Compound Analysis of Coriandrum Sativum L Against Microbial Keratitis
  • Chapter 17: Nanotechnology for Omics-Based Ocular Drug Delivery
• Section 3: Visual Impairment
  • Chapter 18: Design Analytics of Complex Communication Systems Involving Two Different Sensory Disabilities
  • Chapter 19: Android-Based Visual Tag Detection for Visually Impaired Users
• Index