Curvature orientation histograms for detection and matching of vascular landmarks in retinal images

@inproceedings{Ram2009CurvatureOH,
  title={Curvature orientation histograms for detection and matching of vascular landmarks in retinal images},
  author={Keerthi Ram and Yogesh Babu Bathina and Jayanthi Sivaswamy},
  booktitle={Medical Imaging: Image Processing},
  year={2009}
}
Registration is a primary step in tracking pathological changes in medical images. Point-based registration requires a set of distinct, identifiable and comparable landmark points to be extracted from images. In this work, we illustrate a method for obtaining landmarks based on changes in a topographic descriptor of a retinal image. Building on the curvature primal sketch introduced by Asada and Brady for describing interest points on planar curves, we extend the notion to grayscale images. We… CONTINUE READING
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