| 内容提要: |
A retinal image gradability assessment algorithm based on the fusion of generic image quality indicators
is introduced. Four features quantifying image colour, focus, contrast and illumination are computed
using novel image processing techniques. These quality indicators are also combined and classified to
evaluate the image suitability for diagnostic purposes. The algorithm performance is thoroughly
appraised through comparison of the automatic classification results of 2032 retinal images from proprietary,
DRIVE, Messidor, ROC and STARE datasets with human made classification, revealing a sensitivity of
99.76% and a specificity of 99.49%. The algorithm computational complexity and sensitivity to image
noise and resolution were also experimentally quantified demonstrating very good performance and confirming
the usability of the solution in an ambulatory application environment. |