Hierarchical segmentation of cervical and lumbar vertebrae using a customized generalized hough transform and extensions to active appearance models

Benjamin Howe, Arunkumar Gururajan, Hamed Sari-Sarraf, L. Rodney Long

Research output: Contribution to conferencePaperpeer-review

50 Scopus citations

Abstract

This paper describes a semi-automatic segmentation method for application to cervical and lumbar X-ray images. The method consists of a three stage, coarse to fine segmentation process utilizing one stage of the Generalized Hough Transform and two stages of Active Appearance Models. Customizations to these algorithms are introduced, and segmentation results for 273 cervical X-ray images and 262 lumbar X-ray images are presented.

Original languageEnglish
Pages182-186
Number of pages5
StatePublished - 2004
Event2004 IEEE Southwest Symposium on Image Analysis and Interpretation - Lake Tahoe, NV, United States
Duration: Mar 28 2004Mar 30 2004

Conference

Conference2004 IEEE Southwest Symposium on Image Analysis and Interpretation
CountryUnited States
CityLake Tahoe, NV
Period03/28/0403/30/04

Fingerprint Dive into the research topics of 'Hierarchical segmentation of cervical and lumbar vertebrae using a customized generalized hough transform and extensions to active appearance models'. Together they form a unique fingerprint.

Cite this