This paper proposes a novel nonparametric clustering algorithm capable of identifying shape-free clusters. This algorithm is based on a nonparametric estimation of the normalized ...
Chaolin Zhang, Xuegong Zhang, Michael Q. Zhang, Ya...
Automatic segmentation of the heart's left atrium offers great benefits for planning and outcome evaluation of atrial ablation procedures. However, the high anatomical variabi...
Michal Depa, Mert R. Sabuncu, Godtfred Holmvang, R...
In this paper, we propose a competitive image segmentation algorithm. It is a dynamic evolving optimization method, which we call the population algorithm. The method is inspired f...
Cor J. Veenman, Marcel J. T. Reinders, Eric Backer
This paper suggests an efficient image segmentation algorithm in 3 steps for grayscale images. First step is the segmentation as homogenous region on image. And, second step is me...
An unsupervised segmentation algorithm based on a multiresolution method is presented. This method uses variational functions as a segmentation criterion. The algorithm has been ap...