2010
DOI: 10.1007/978-3-642-11628-5_32
View full text | Cite
|
Sign up to set email alerts
|

Abstract: Age-Related Macular Degeneration (ARMD) is considered the leading cause of irreversible blindness in developed countries. One of its risk factors is the presence of drusens, which are retina abnormalities appearing as yellowish spots in fundus images. In this article a methodology using image processing techniques for the quantification of drusens is presented. The method uses splines combined with a contrast normalization to correct uneven illumination, followed by a drusen detection and modelling algorithm. … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
3
0

Year Published

2014
2014
2018
2018

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(5 citation statements)
references
References 13 publications
(14 reference statements)
2
3
0
Order By: Relevance
“…As shown in Table 1, our results compare favourably with the results obtained by other algorithms found in the literature to detect exudates [1, 2], drusens [3, 4] and MA [5, 6], especially for MA pathology. The main advantages of our approach are that it is simple, fast and effective.…”
Section: Data and Simulation Resultssupporting
confidence: 84%
See 3 more Smart Citations
“…As shown in Table 1, our results compare favourably with the results obtained by other algorithms found in the literature to detect exudates [1, 2], drusens [3, 4] and MA [5, 6], especially for MA pathology. The main advantages of our approach are that it is simple, fast and effective.…”
Section: Data and Simulation Resultssupporting
confidence: 84%
“…We have presented a new automated system for pathologies detection in retina digital images based on the analysis of the image by means of the CCWT to obtain phase angle information which is fed to SVM. The simulation results show that our method gives results that compare favourably with the results reported in [1–6]. This could be explained mainly by the fact that phase angles contain valuable information that allows discriminating between normal and abnormal retina images.…”
Section: Resultssupporting
confidence: 74%
See 2 more Smart Citations
“…Drusen affected area detection using intensity gradient based segmentation. Gaussian function model has been suggested by Mora A et al [6]. Wavelet transforms in combination with Fuzzy C Means clustering has been reported by Rama Prasath A et al [7].…”
Section: Introductionmentioning
confidence: 99%