Pattern recognition in medical imaging by means of the Hough transform of curves

Cristina Campi, Annalisa Perasso, Mauro C. Beltrametti, Anna Maria Massone, Gianmario Sambuceti, Michele Piana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Hough transform is a classical pattern recognition algorithm used to detect straight lines, circles and ellipses in images. Recently, algebraic geometry arguments have been applied to generalize this approach to special classes of curves. Here we provide preliminary results showing that this method can be utilized for the recognition of compact bone profiles in clinical X-ray tomography images and therefore potentially represents an effective computational tool for applications in hematology and oncology.

Original languageEnglish
Title of host publicationInternational Symposium on Image and Signal Processing and Analysis, ISPA
PublisherIEEE Computer Society
Pages280-283
Number of pages4
ISBN (Print)9789531841948
Publication statusPublished - 2013
Event8th International Symposium on Image and Signal Processing and Analysis, ISPA 2013 - Trieste, Italy
Duration: Sep 4 2013Sep 6 2013

Other

Other8th International Symposium on Image and Signal Processing and Analysis, ISPA 2013
CountryItaly
CityTrieste
Period9/4/139/6/13

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Campi, C., Perasso, A., Beltrametti, M. C., Massone, A. M., Sambuceti, G., & Piana, M. (2013). Pattern recognition in medical imaging by means of the Hough transform of curves. In International Symposium on Image and Signal Processing and Analysis, ISPA (pp. 280-283). [06703753] IEEE Computer Society.