Extraction of blood vessels in ophthalmic color images of human retinas

Authors:
Edgardo Felipe-Riveron;Noel Garcia-Guimeras
Affiliations:
Centre for Computing Research, National Polytechnic Institute, Mexico;Latin American School of Medicine, Havana, Cuba
Venue:
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Year:
2006

Citing 3
Cited 1

Digital Image Processing

Digital Image Processing
Morphological Image Analysis: Principles and Applications

Morphological Image Analysis: Principles and Applications
Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation

IEEE Transactions on Image Processing

An Automatic Hybrid Method for Retinal Blood Vessel Extraction

International Journal of Applied Mathematics and Computer Science - Selected Problems of Computer Science and Control

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a strategy for the extraction of blood vessels from ophthalmoscopic color images of the fundus of human retinas. To extract the vascular network, morphology operators were used, primarily maximum of openings and sum of valleys, and secondly a reconstruction by dilation from two images obtained using threshold by hysteresis. To extract the skeleton of the resulting vascular network, morphological thinning and pruning algorithms were used. Results obtained represent a starting point for future work related to the detection of anomalies in the vascular network and techniques for personal authentication.