Edge Detection in Low-Quality Medical Images Based on Augmented Lagrangian Method and B-Spline

Medical images are very important for the treatment process of specialists because of containing a lot of important information in patient’s body. The edge detection is a prepared process for object boundaries. Therefore, the edge detection in medical images is very important and necessary with low-quality medical images. Other previous methods must sacrifice time to have the accurate results. In this paper, we proposed a new method to detect edges in low-quality medical images which have impurities by using augmented Lagrangian method and B-spline. Our method improves the ability for smoothing and detecting faster.