Customized hough transform for robust segmentation of cervical vertebrae from x-ray images

被引：19

作者：

Tezmol, A ^{[1
]}

Sari-Sarraf, H ^{[1
]}

Mitra, S ^{[1
]}

Long, R ^{[1
]}

Gururajan, A ^{[1
]}

机构：

[1] Texas Tech Univ, Dept Elect Engn, Lubbock, TX 79409 USA

来源：

FIFTH IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION, PROCEEDINGS | 2002年

关键词：

D O I：

10.1109/IAI.2002.999922

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

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.

引用

页码：224 / 228

页数：5