Segmentation of Retinal Blood Vessels Using Scale-Space Features and K-Nearest Neighbour Classifier

@article{Salem2006SegmentationOR,
  title={Segmentation of Retinal Blood Vessels Using Scale-Space Features and K-Nearest Neighbour Classifier},
  author={Nancy M. Salem and Asoke K. Nandi},
  journal={2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings},
  year={2006},
  volume={2},
  pages={II-II}
}
In this paper, a new feature vector for each pixel, in conjunction with the K-nearest neighbour classifier, is proposed for the segmentation of retinal blood vessels in digital colour fundus images. The proposed feature vector consists of two scale-space features - the largest eigenvalue and the gradient magnitude - of the intensity image, representing the… CONTINUE READING