Detection and Localization of Spherical Markers in Photographs

Abstract

This paper presents two solutions for detection and localization of spherical markers in photographs. The proposed solutions enable precise detection and localization in sub millimeter range. High precision localization is required for brain surgery, and presented research effort is part of a project of developing and deploying a robotic system for neurosurgical applications. Two algorithms for Hough transform using several edge detection algorithms are proposed, and their results compared and analyzed. Results are obtained for both NIR and visible spectrum images, and required high precision is achieved in both domains.

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BibTeX Citation

DOI

10.20532/ccvw.2016.0014

https://doi.org/10.20532/ccvw.2016.0014

BibTeX

@InProceedings{10.20532/ccvw.2016.0014,
  author =       {Tomurad, Josip and Suba{\v s}i{\' c}, Marko},
  title =        {Detection and Localization of Spherical Markers in
                  Photographs},
  booktitle =    {Proceedings of the Croatian Compter Vision Workshop,
                  Year 4},
  pages =        {19-23},
  year =         2016,
  editor =       {Lon{\v c}ari{\' c}, Sven and Cupec, Robert},
  address =      {Osijek},
  month =        {October},
  organization = {Center of Excellence for Computer Vision},
  publisher =    {University of Zagreb},
  abstract =     {This paper presents a solution for detection and
                  localization of circles in images. Two methods are
                  proposed that enable precise detection and
                  localization as a part of project RONNA. The goal of
                  this project is development of a robot for
                  assistance in neurosurgical applications. Two
                  algorithms for Hough transform and several edge
                  detection algorithms are proposed and reviewed, and
                  their results compared and commented. Results have
                  been obtained for both NIR and visible spectrum
                  images.},
  doi =          {10.20532/ccvw.2016.0014},
  url =          {https://doi.org/10.20532/ccvw.2016.0014}
}