Analyse adequacy of a retinal image

feature.cpp
Reads in an image of the retina and calculates the feature vector values

result.cpp
Takes in the feature vector and the coefficient vector(theta calculated using logistic regression) and declares whether the image is gradable or not

• OpenCV 3.0.0

Run:

$ make all
$./AssessImage.sh /path/to/retinal_image

$ make all
$ ./AssessImage.sh Images/1.jpg

Ungradable Retinal Image



Gradable Retinal Image

• Herbert Davis, Stephen Russell, Eduardo Barriga, Michael Abramoff and Peter Soliz - "Vision-based, Real-time Retinal Image Quality Assessment"
• Gopal Datt Joshi, Jayanthi Sivaswamy - "Colour Retinal Image Enhancement based on Domain Knowledge"
• A. Gebejes, R. Huertas - "Texture Characterization based on Grey-Level Co-occurrence Matrix"
• João Miguel Pires Dias, Carlos Manta Oliveira, Luís A. da Silva Cruz - "Retinal image quality assessment using generic image quality indicators"