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Customized Hough transform for robust segmentation of the cervical vertebrae from x-ray images (2001)
| Content Provider | CiteSeerX |
|---|---|
| Author | Tezmol, Abraham Sari-Sarraf, Hamed Mitra, A. Long, Rodney Gururajan, Arunkumar |
| Description | This report 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. 1. |
| File Format | |
| Language | English |
| Publisher Date | 2001-01-01 |
| Publisher Institution | Southwest Symposium on Image Analysis and Interpretation (SSIAI 2002), April 7-9, 2002 |
| Access Restriction | Open |
| Subject Keyword | Customized Hough Transform X-ray Image Cervical Vertebra Boundary Shape Information Robust Segmentation Generalized Hough Transform Digitized X-ray Image Accumulator Structure Robust Segmentation Technique Cervical Vertebra Customized Approach Shape Variability |
| Content Type | Text |
| Resource Type | Article |
