Template-matching approach to edge detection of volume data

被引：6

作者：

Wang, LS ^{[1
]}

Wong, TT ^{[1
]}

Heng, PA ^{[1
]}

Cheng, JCY ^{[1
]}

机构：

[1] Chinese Univ Hong Kong, Dept Comp Sci & Engn, Sha Tin 100083, Hong Kong, Peoples R China

来源：

INTERNATIONAL WORKSHOP ON MEDICAL IMAGING AND AUGMENTED REALITY, PROCEEDINGS | 2001年

关键词：

D O I：

10.1109/MIAR.2001.930305

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper proposes a template-matching approach to the edge detection of volume data. Twenty-six templates of ideal step-like edge in the 3x3x3 neighborhood of volume data are given, and step-like edge of volume data is detected by matching such patterns in various orientations. The approach is a simple and straightforward one to edge detection of volume data. It generalizes the well-known Kirsch operator for 2D image. It can detect change of intensity in every direction, and has the property of rotation invariance in 18-neighborhood. Implementation of proposed approach is given for biological and medical volume data, including MRI and CT volume data.

引用

页码：286 / +

页数：2

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