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Proceedings Paper

Three-dimensional hybrid edge detection
Author(s): Mohammed Bennamoun; Pi-Chi Chou; Espen Norheim; Michael O'Loan
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Paper Abstract

Volume image processing is a very important research area and has many medical applications. One of the key topics in medical image analysis is edge detection. This paper describes a new approach for 3D edge detection. The approach presented in this paper is based on the 2D Hybrid Edge Detector. The structure of the 3D Hybrid Edge Detector is equivalent to the structure of the 2D case. It is the combination of the first and the second order differential edge detectors. The combination of the two differential detectors give an accurate edge localization whilst maintaining immunity to the noise in the image. Results based on synthetic and medical images (Computed Tomography and Magnetic Resonance Imaging) using the Hybrid Edge Detectors are presented. They are also compared to the results of the Gradient of the Gaussian detector and the Laplacian of the Gaussian detector.

Paper Details

Date Published: 30 May 2000
PDF: 8 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386613
Show Author Affiliations
Mohammed Bennamoun, Queensland Univ. of Technology (Australia)
Pi-Chi Chou, Queensland Univ. of Technology (Australia)
Espen Norheim, Queensland Univ. of Technology (Australia)
Michael O'Loan, Queensland Univ. of Technology (Australia)

Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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