Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/2339
Title: | Detection and tracking of retinal vessels in fundus image | Authors: | Lam, Hwee Keong | Keywords: | DRNTU::Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics | Issue Date: | 2004 | Abstract: | Development of algorithms to automatically detect and locate the blood vessels in colour fundus images. The blood vessels are detected by first scanning the whole image for possible vessel points. Following the main blood vessel, a convergence point is found and is labeled as the optic nerve center. | URI: | http://hdl.handle.net/10356/2339 | Schools: | School of Computer Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
SCE-THESES_103.pdf Restricted Access | 25.24 MB | Adobe PDF | View/Open |
Page view(s) 50
529
Updated on Oct 5, 2024
Download(s)
2
Updated on Oct 5, 2024
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.