Interactive blood vessel segmentation from retinal fundus image based on canny edge detector (SCOPUS)
Interactive blood vessel segmentation from retinal fundus image based on canny edge detector (SCOPUS) by Ibrahim, Haidi
Saved in:
Main Author: | Ibrahim, Haidi |
---|---|
Format: | article |
Language: | English |
Published: |
Tanjung Malim
2021
|
Subjects: | |
Online Access: | https://ir.upsi.edu.my/detailsg.php?det=8165 https://ir.upsi.edu.my/detailsg.php?det=8165 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Interactive blood vessel segmentation from retinal fundus image based on canny edge detector
by: Ibrahim, Haidi, et al.
Published: (2021) -
Interactive blood vessel segmentation from retinal fundus image based on canny edge detector
by: Wang, Shir Li
Published: (2021) -
An Automated Image Segmentation and Useful Feature Extraction Algorithm for Retinal Blood Vessels in Fundus Images
by: Abdulsahib A.A., et al.
Published: (2023) -
Quality Assessment Methods to Evaluate the Performance of Edge Detection Algorithms for Digital Image: A Systematic Literature Review (SCOPUS)
by: Ibrahim, Haidi
Published: (2021) -
Retinal vessel segmentation in fundus images using deep learning / Chen Chun Hui
by: Chen , Chun Hui
Published: (2021)