In this paper, we propose a unified framework, called Markov Model Mediator (MMM), to facilitate image database clustering and to improve the query performance. The structure of t...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
In this paper, we propose a novel predictive model for
object boundary, which can integrate information from any
sources. The model is a dynamic “object” model whose
manifes...
Tian Shen (Lehigh University), Hongsheng Li (Lehig...
—This paper presents an Improved Snake Model (ISM) effective for performing fast image segmentation. The work takes advantage of two well-known snake models of Balloon [1] and GG...
We propose a very efficient numerical algorithm for minimizing certain curvature dependent functionals that appear in a variety of well known variational models of image processin...
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...