|
| No | Paper Info
(Authors) | Contribution | Feature | Method | Database REVIEW | Results |
| Accuracy |
| Success rate% | Measurement
(in pixels) | Difference
(in pixels) |
| µ | σ | µ | σ |
|
1 | [23] | Algorithm for retinal vessel boundary detection and width measurement | Retinal blood vessel width | Graph-Theoretic method | HRIS 90 segments 2368 vessel profile | | | | | |
| VDIS, 79 segments, 2249 vessel profile | | | | | |
|
| 2 | [52] | A method for measuring the retinal vessels widths and computing AVR in REVIEW database. | Retinal blood vessel width | This algorithm is based on deformable models and integrated into an AVR computing framework | REVIEW 5066 vessel profiles | | | | | |
| KPIS, SIRIUS | | | | | |
| G | | | | | |
| L | | | | | |
| J | | | | | |
| I | | | | | |
| CLRIS, SIRIUS | | | | | |
| G | | | | | |
| L | | | | | |
| J | | | | | |
| I | | | | | |
| VDIS, SIRIUS | | | | | |
| G | | | | | |
| L | | | | | |
| J | | | | | |
| I | | | | | |
| HRIS, SIRIUS | | | | | |
| G | | | | | |
| L | | | | | |
| J | | | | | |
| I | | | | | |
|
| 3 | [53] | An automated vessel diameter measurement technique | Retinal blood vessel width | Unsupervised Linear Discriminant Analysis Diameter Measurement | REVIEW, 5066 Profiles | | | | | |
| KPIS | | | | | |
| CLRIS | | | | | |
| VDIS | | | | | |
| HRIS | | | | | |
| 4 | [54] | An algorithm for estimating the width of a retinal blood vessel in fundus camera images. | Retinal blood vessel width | Supervised learning is performed by bagged decision trees and an extended multiresolution Hermite model | REVIEW, 5066 Profiles | | | | | |
| KPIS | | | | | |
| CLRIS | | | | | |
| VDIS | | | | | |
| HRIS | | | | | |
| Tayside data set, 38 fundus images | | | | | |
|
5 | [24] | An algorithm to measure the width of the retinal vessels and find the vessels boundary in fundus photographs | Retinal blood vessel width | Graph-based segmentation method | REVIEW, 5066 profiles | | | | | |
| KPIS | | | | | |
| CLRIS | | | | | |
| VDIS | | | | | |
| HRIS | | | | | |
|
| 6 | [20] | A novel method for measuring the blood vessel diameter in the retinal image. | Retinal blood vessel width | Thresholding segmentation and thinning step, followed by Douglas-Peucker algorithm. active contours and Heron’s Formula | STARE Database | | | | | |
| | | | | |
| | | | | |
| HRF Database | | | | | |
| | | | | |
| | | | | |
|
| 7 | [21] | An algorithm for the segmentation and measurement of retinal vessels width, the ESP algorithm. | Retinal blood vessel width | Active contour model | REVIEW, 5066 profiles | | | | | |
| KPIS | | | | | |
| CLRIS | | | | | |
| VDIS | | | | | |
| HRIS | | | | | |
|
| 8 | [26] | An adaptive model to measure the width of retinal vessels in fundus photographs. | Retinal blood vessel width | Adaptive Higuchi’s Dimension | REVIEW, 5066 profiles | | Precision | Accuracy |
| KPIS | 100 | 0.45 | 0.72 |
| CLRIS | 98.00 | 1.56 | 0.33 |
| VDIS | 97.8 | 1.14 | 0.45 |
| HRIS | 99.4 | 0.65 | 0.24 |
|
| 9 | [25] | A technique of retinal vessel diameter measurement. | Retinal blood vessel width | Multi-Step Regression Method (Higher order Gaussian modeling) | REVIEW | | Precision | Accuracy |
| CLRIS | | 1.691 | |
| VDIS | | 1.182 | |
|
