Edge-Preserving Segmentation and Fusion of Medical Images by using Enhanced Mean Shift
Conference contribution, 2008

This paper addresses the issue of medical image segmentation by using an enhanced spatial-range mean shift. Mean shift is a method for estimating local modes (maxima) of pdf (probability density function) using a kernel-based approach. This paper describes an enhanced spatial-range mean shift segmentation method for biomedical (MRI) image segmentation. Preliminary work and the results on fusion of segmented brain images from different sensors (e.g. MRI, CT) are presented and discussed.

biomedical image processing

Author

Irene Yu-Hua Gu

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Tiesheng Wang

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Andrew Backhouse

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Medicinteknikdagarna 2008, 14-15 oktober, Göteborg, Sweden

Subject Categories

Medical Laboratory and Measurements Technologies

Computer Vision and Robotics (Autonomous Systems)

More information

Created

10/8/2017