Many approaches have been proposed to solve the problem of finding the optic flow field of
an image sequence. Three major classes of optic flow computation techniques can …

After binarization of cells in complex cytological and histological images the segmented
structures can be rather far away from a final quantification of features of single cells since …

The purpose of this article is to define optic flow for scalar and density images without using
a priori knowledge other than its defining conservation principle, and to incorporate …

When an image is viewed at varying resolutions, it is known to create discrete perceptual
jumps or transitions amid the continuous intensity changes. In this paper, we study a …

In the Gaussian scale-space formalism, image features are often defined as loci of
differential invariants. A typical behavior of these is topological stability in open intervals of …

The topic of this thesis is segmentation of grey {scale images by accessing and relating the
structures of the image for all reasonable scales. Grey {scale images are regarded as …

Computer vision algorithms are strongly based on advanced mathematical methods. Tools
to efficiently develop new methods are increasingly based on computer algebra systems …

Coarseness and directionality are important sources of information for texture image
recognition. They are especially important for distinguishing between the textures and …

Among the many existing multiresolution algorithms, the scale-space approach offers the
benefits of strong mathematical and biological foundation and excellent results, but the …

As natural scenes contain a huge number of motion patterns generated by various
stochastic processes, how to represent and model these diverse visual patterns, and how to …