Skip to content

babloogpb1/Optic-disc-segmentation-using-pca-and-mathematical-morphology

Repository files navigation

OpticDisc Segmentation with Mathematical Morphology

Code for IEEE_paper_06408254("Automatic Detection of Optic Disc Based on PCA and Mathematical Morphology -- IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 32, NO. 4, APRIL 2013")

  1. The code is based on: openCV + PIL + scipy
  2. The output is raw segmentation result with circular approximation of the optic disc.
  3. You can run the file 'starter.py' for the output.

Main files:

  1. 'starter.py': The disc detection code for the ROI fundus image.
  2. 'functions.py': callable function container

Link to the paper:

[1] Sandra Morales, Valery Naranjo, Jesús Angulo, and Mariano Alcañiz, "Automatic Detection of Optic Disc Based on PCA and Mathematical Morphology", IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 32, NO. 4, APRIL 2013. (Link)

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published