A general-purpose computer vision system must be capable of recognizing three-
dimensional (3-D) objects. This paper proposes a precise definition of the 3-D object …

The extraction of curvilinear structures is an important low-level operation in computer vision
that has many applications. Most existing operators use a simple model for the line that is to …

This paper describes a method for the enhancement of curvilinear structures such as
vessels and bronchi in three-dimensional (3-D) medical images. A 3-D line enhancement …

This paper presents an overview of feature extraction methods for off-line recognition of
segmented (isolated) characters. Selection of a feature extraction method is probably the …

Die zweite Auflage dieses erfolgreichen Lehrbuchs zum maschinellen Sehen ist vollständig
aktualisiert, überarbeitet und erweitert, um die Entwicklungen der vergangenen Jahre auf …

Biological semiflexible polymers and filaments such as collagen, fibronectin, actin,
microtubules, coiled-coil proteins, DNA, siRNA, amyloid fibrils, etc., are ubiquitous in nature …

The solution of the segmentation problem requires a mechanism for partitioning the image
array into low-level entities based on a model of the underlying image structure. A piecewise …

This article presents:(i) a multiscale representation of grey-level shape called the scale-
space primal sketch, which makes explicit both features in scale-space and the relations …

In recent years there has been a tremendous increase in computer vision research using
range images (or depth maps) as sensor input data. The most attractive feature of range …

This paper describes a novel approach to tissue classification using three-dimensional (3D)
derivative features in the volume rendering pipeline. In conventional tissue classification for …