Performance Analysis of Cone Detection Algorithms

• Published in: arXiv.org
• Main Authors: Mariotti, Letizia, Devaney, Nicholas
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 05.02.2015
• Subjects: Algorithms; Celestial bodies; Computer Science - Computer Vision and Pattern Recognition; Computer simulation; Image detection; Image enhancement; Image quality; Parameter estimation; Parameter sensitivity; Physics - Medical Physics; Websites

Many algorithms have been proposed to help clinicians evaluate cone density and spacing, as these may be related to the onset of retinal diseases. However, there has been no rigorous comparison of the performance of these algorithms. In addition, the performance of such algorithms is typically deter...