Segmentation for Noisy Image Based on Geodesic Distance and Graph cuts
Shanshan Gao, Jinwen Hou · 한국CDE학회 국제학술발표 논문집 · 2013
The paper introduces a Graph cuts method which is based on geodesic distance framework, which can achieve image denoising. A new method to compute the geodesic distance is introduced in this paper firstly, then new method combines geodesic with Graph cuts algorithm. What’s more, based on the denoising constraint, the method changes the computing method of graph’s edge weight of the image for image segmentation. This method can segment and denoise image which contains a lot of noise effectively.