使用自定义广义霍夫变换和扩展到活动外观模型对颈椎和腰椎进行分层分割

6th IEEE Southwest Symposium on Image Analysis and Interpretation, 2004. Pub Date : 2004-03-28 DOI:10.1109/IAI.2004.1300970

Benjamin M. Howe, A. Gururajan, H. Sari-Sarraf, L. R. Long

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引用次数: 60

摘要

本文描述了一种应用于颈椎和腰椎x线图像的半自动分割方法。该方法包括三个阶段，从粗到细，利用广义霍夫变换的分割过程为一个阶段，活动外观模型为两个阶段。介绍了这些算法的自定义，并给出了273张颈椎x线图像和262张腰椎x线图像的分割结果。

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

The 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 the generalised Hough transform for one stage, and active appearance models for two stages. Customizations to these algorithms are introduced, and segmentation results for 273 cervical X-ray images and 262 lumbar X-ray images are presented.

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6th IEEE Southwest Symposium on Image Analysis and Interpretation, 2004.

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