Customized Hough transform for robust segmentation of cervical vertebrae from X-ray images

A. Tezmol, H. Sari-Sarraf, S. Mitra, R. Long, A. Gururajan

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

30 Scopus citations

Abstract

This paper addresses the issues involved in developing a robust segmentation technique capable of finding the location and orientation of the cervical vertebrae in X-ray images. This technique should be invariant to rotation, scale, noise, occlusions and shape variability. A customized approach, based on the generalized Hough transform (GHT), that captures shape variability and exploits shape information embedded in the accumulator structure to overcome noise and occlusions is proposed. This approach effectively finds estimates of the location and orientation of the cervical vertebrae boundaries in digitized X-ray images.

Original languageEnglish
Title of host publicationProceedings - 5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages224-228
Number of pages5
ISBN (Electronic)0769515371
DOIs
StatePublished - Jan 1 2002
Event5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002 - Santa Fe, United States
Duration: Apr 7 2002Apr 9 2002

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Volume2002-January

Conference

Conference5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002
CountryUnited States
CitySanta Fe
Period04/7/0204/9/02

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Keywords

  • Data mining
  • Image edge detection
  • Image segmentation
  • Libraries
  • Noise shaping
  • Robustness
  • Shape
  • Spine
  • Voting
  • X-ray imaging

Cite this

Tezmol, A., Sari-Sarraf, H., Mitra, S., Long, R., & Gururajan, A. (2002). Customized Hough transform for robust segmentation of cervical vertebrae from X-ray images. In Proceedings - 5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002 (pp. 224-228). [999922] (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation; Vol. 2002-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAI.2002.999922