This paper provides a review of shape analysis methods. Shape analysis methods play an
important role in systems for object recognition, matching, registration, and analysis …

Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image
Processing is a comprehensive and reliable resource which now provides explanations of …

We address the problem of two-dimensional (2-D) shape representation and matching in
presence of self-intersection for large image databases. This may occur when part of an …

The application of neural networks (NNs) to automatic analysis of chromosome images is
investigated in this paper. All aspects of the analysis, namely segmentation, feature …

The article presents a layer-based seed-growing technique for the segmentation of 3-D
surfaces from computed tomography (CT) contour data. It falls in an area called reverse …

The goal of this paper is to present an appropriate method for the segmentation of lines at
intersections (X-junctions) and branches (T-junctions), which can be regarded as local …

In this paper, we propose a new definition of curvature, called visual curvature. It is based on
statistics of the extreme points of the height functions computed over all directions. By …

From the foreword by Thomas Huang:" During the past decade, researchers in computer
vision have found that probabilistic machine learning methods are extremely powerful. This …

In image retrieval, global features related to color or texture are commonly used to describe
the image. The use of interest points in contentbased image retrieval allows image index to …

Weblogs (blogs) are becoming prominent forms of information exchange in the Internet. A
large number and variety of blogs, like personal journals or commentaries, are available for …