Automatic Feature Extraction of Head MR Image Based on Limited Region Growing and Improved Boundary Tracking Method

摘要

In this paper, based on the analysis of head MR (Magnetic Resonance) image, an effective method is developed to automatically extract skull area and edges from MR image. Based on slip gray scale threshold and specifically qualifications, a region growing method is applied to automatically form the skull area candidates and confirm the true area. Then an improved boundary tracking method is applied to remove the pseudo-structures of the rough skull area. Limited tracking bug and some definite shape operations are applied to remove the redundant protuberances and dead zones, without any effect on the true skull area. The experimental result is provided and discussed.