Motion Detection for Adaptive Spatio-temporal Filtering of Medical X-Ray Image Sequences

Abstract

Spatio-temporal filters are used to improve the quality of X-ray image sequences exhibiting severe noise in real-time. The spatial and temporal ratios have to be adapted locally in order to avoid artifacts. We propose a method processing the positive and negative pixel values of difference images independently in order to detect regions dominated by motion and single pixels dominated by noise. In the context of noise-adaptive binarization using Euler numbers, the influence of noise and motion on Euler curves is investigated.