Large-deformation image registration is important in theory and application in computer
vision, but is a difficult task for non-rigid registration methods. In this paper, we propose a …

This paper presents a novel unsupervised algorithm for brain tissue segmentation in
magnetic resonance imaging (MRI). The proposed algorithm, named Gardens2, adopts a …

The search for transformation parameters for image registration has been treated
traditionally as a multidimensional optimization problem. Non-rigid registration of medical …

This work attempts to approximate a linear Gaussian system with a finite-state hidden
Markov model (HMM), which is found useful in dealing with challenges in designing …

In this paper, we propose a novel HMM-based 2-D recognition engine, namely the NSHP Z-
HMM. Like the reference model (the NSHP-HMM), the proposed classifier brings the efficient …

In this paper, the stabilization problem of discrete-time Markovian jump systems (DMJSs)
with partially mode-dependent controllers of dwell times is studied. Firstly, a kind of partially …

Le cancer du sein est l'une des pathologies les plus fréquentes dans le monde entier. Cette
maladie est la première cause de décès chez les femmes de 35 à 70 ans. La croissance des …

The optical flow field-based active demons algorithm is a major technique for nonrigid image
registration. Current active demons algorithms for large deformation problems are suffered …

This paper investigates the problem of measuring similarity between multimodal Remote
Sensing (RS) images using both area-based and feature-based structural similarity …

The performance of unconstrained handwritten words remains a challenging pattern
recognition problem. In recent years, stochastic two-dimensional (2-D) models, especially …