Three-dimensional hybrid edge detection
Mohammed Bennamoun, Pi-Chi Chou, Espen Norheim, Michael O'Loan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
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.