Feature extraction is the key step of synthetic aperture radar (SAR) target configuration
recognition. A statistical model embedding the locality preserving property is presented to …

This paper introduces a new approach to statistical pressure snakes. It uses statistical
modeling for both object and background to obtain a more robust pressure model. The …

The goal of partitioning clustering analysis is to divide a dataset into a predetermined
number of homogeneous clusters. The quality of final clusters from a prototype-based …

This paper discusses the problem of finding the number of component clusters in gray-level
image histograms. These histograms are often modeled using a standard mixture of …

This paper introduces a new approach to active deformable models. The paper starts with a
brief review of the relevant approaches. We then use the Expectation Maximization and …

In this paper, we tackle the performance evaluation of two clustering algorithms: EFC and
AIC-based. Both algorithms face the cluster validation problem, in which they need to …

The paper presents an algorithm of automatic target detection in Synthetic Aperture Radar
(SAR) images based on Maximum A Posteriori (MAP). The algorithm is divided into three …

Active contour models, more commonly known as snakes, have received considerable
attention for more than a decade since their introduction by Kass et al. Snakes are energy …