We study the segmentation of SAR imagery using wavelet domain Hidden Markov Tree HMT models The HMT model is a tree structured probabilistic graph that captures the statistical properties of the wavelet transforms of images This technique has been successfully applied to the segmentation of natural texture images documents etc However SAR image segmentation poses a di cult challenge owing to th...

This paper presents a toolbox for interactive image segmentation based on a series of nested partitions of increasing coarseness. The user can navigate among the different resolution levels and select regions with simple mouse clicks. The whole family of partitions can be created during a single morphological flooding of the image, leading to a very fast algorithm. The information is stored in ...

This article presents a probabilistic hierarchical clustering model for morphological segmentation. In contrast to existing approaches to morphology learning, our method allows learning hierarchical organization of word morphology as a collection of tree structured paradigms. The model is fully unsupervised and based on the hierarchical Dirichlet process (HDP). Tree hierarchies are learned alon...

This paper presents an approach for the recognition of on-line handwritten mathematical expressions. The Hidden Markov Model (HMM) based system makes use of simultaneous segmentation and recognition capabilities, avoiding a crucial segmentation during pre-processing. With the segmentation and recognition results, obtained from the HMMrecognizer, it is possible to analyze and interpret the spati...

BACKGROUND Previous histological and imaging studies have shown the presence of variability in the degree of bronchoconstriction of airways sampled at different locations in the lung (i.e., heterogeneity). Heterogeneity can occur at different airway generations and at branching points in the bronchial tree. Whilst heterogeneity has been detected by previous experimental approaches, its spatial ...

asthma is a chronic inflammatory disease of the airway with extensive airway remodeling. the ethical issues associated with the studies in asthmatic patients, required development of animal model of asthma. animal models of asthma can provide valuable information on several features of asthma pathogenesis and treatment. although these models cannot carry out all clinical features, they are valu...

p a o m m l a s s a p s l o w h p he analysis and 3-dimensional (3D) imaging of the irway have become more common as technological evelopments in both imaging and computer analysis ave advanced and converged during the past few ears. These advances have been especially beneficial or the ability to understand and diagnose obstructed leep disordered breathing (OSDB) and its relationship o the cra...

We study the segmentation of SAR imagery using wavelet-domain Hidden Markov Tree (HMT) models. The HMT model is a tree-structured probabilistic graph that captures the statistical properties of the wavelet transforms of images. This technique has been successfully applied to the segmentation of natural texture images, documents, etc. However, SAR image segmentation poses a diicult challenge owi...

Chinese word segmentation is a fundamental task for Chinese language processing. The granularity mismatch problem is the main cause of the errors. This paper showed that the binary tree representation can store outputs with different granularity. A binary tree based framework is also designed to overcome the granularity mismatch problem. There are two steps in this framework, namely tree buildi...