The author proposes a method for simultaneous registration and segmentation of multi-
source images, using the multivariate mixture model (MvMM) and maximum of log-likelihood …

MELD, previously known as additive friction stir, is an emerging solid-state process that
enables additive manufacturing of a broad range of metals and metal matrix composites …

In recent years, the acquisition of image and video information for processing, analysis,
understanding, and exploitation of the underlying content in various applications, ranging …

Finite mixture model based on the Student's-t distribution, which is heavily tailed and more
robust than Gaussian, has recently received great attention for image segmentation. A new …

This paper addresses the problem of estimating the Potts parameter β jointly with the
unknown parameters of a Bayesian model within a Markov chain Monte Carlo (MCMC) …

Cluster analysis plays an important role in many areas of science, and clustering algorithms
and cluster validation are two essential elements. Before clustering, the number of clusters is …

In this paper, we combine amplitude and texture statistics of the synthetic aperture radar
images for the purpose of model-based classification. In a finite mixture model, we bring …

A novel model is presented to address the problem of semantic clustering of geo-objects in
very high resolution panchromatic satellite images. The proposed model combines a …

An abundance of various segmentation techniques are available in the literature, that cater
to wide range of image understanding applications. The paper proposes a unified way of …

In this paper, we focus on the segmentation of sonar images to achieve underwater object
detection and classification. Our goal is to achieve accurate segmentation of the object's …