Iterated random walks with shape prior

作者：Ruiz Pujadas Esmeralda; Kjer Hans Martin; Piella Gemma; Gonzalez Ballester Miguel Angel

来源：Image and Vision Computing, 2016, 54: 12-21.

DOI：10.1016/j.imavis.2016.07.005

• Random walks
• Segmentation
• Shape prior
• Iterative segmentation
• Distance map prior

We propose a new framework for image segmentation using random walks where a distance shape prior is combined with a region term. The shape prior is weighted by a confidence map to reduce the influence of the prior in high gradient areas and the region term is computed with k-means to estimate the parametric probability density function. Then, random walks is performed iteratively aligning the prior with the current segmentation in every iteration. We tested the proposed approach with natural and medical images and compared it with the latest techniques with random walks and shape priors. The experiments suggest that this method gives promising results for medical and natural images.

• 出版日期2016-10