Template-matching approach to edge detection of volume data

Author

Wang, Lisheng ; Wong, Tien-Tsin ; Heng, Pheng Ann ; Cheng, Jack Chun Yiu

Author_Institution

Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Shatin, China

fYear

2001

fDate

2001

Firstpage

286

Lastpage

291

Abstract

This paper proposes a template-matching approach to the edge detection of volume data. Twenty-six templates of an ideal step-like edge in the 3×3×3 neighborhood of volume data are given, and the step-like edge of volume data is detected by matching such patterns in various orientations. The approach is a simple and straightforward one for edge detection of volume data. It generalizes the well-known Kirsch operator for 2D images. 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

Keywords

edge detection; image matching; medical image processing; 2D images; CT; Kirsch operator; MRI; biological data; edge detection; medical image processing; medical volume data; pattern matching; rotation invariance; template matching; volume data; Biomedical imaging; Computed tomography; Computer science; Data engineering; Detectors; Image edge detection; Lifting equipment; Magnetic resonance imaging; Orthopedic surgery; Sea surface;

fLanguage

English

Publisher

ieee

Conference_Titel

Medical Imaging and Augmented Reality, 2001. Proceedings. International Workshop on

Conference_Location

Shatin, Hong Kong

Print_ISBN

0-7695-1113-9

Type

conf

DOI

10.1109/MIAR.2001.930305

Filename

930305