Partial differential equations (PDEs) have led to an entire new field in image processing and
computer vision. Hundreds of publications have appeared in the last decade, and PDE …

The completion of interrupted lines or the enhancement of flow-like structures is a
challenging task in computer vision, human vision, and image processing. We address this …

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 …

Despite the fact that images constitute the main objects in computer vision and image
analysis, there is remarkably little concern about their actual definition. In this book a …

A comparison between two nonlinear diffusion methods for denoising OCT images is
performed. Specifically, we compare and contrast the performance of the traditional …

This work presents two mechanisms for processing fingerprint images; shape-adapted
smoothing based on second moment descriptors and automatic scale selection based on …

This paper presents an application of fuzzy set theory for classification of individual tree
crowns into species groups, in high spatial resolution colour infrared aerial photographs. In …

This article investigates Renyi's (1976) generalized entropies under linear and nonlinear
scale-space evolutions of images. Scale-spaces are useful computer vision concepts for …

In this paper, we propose a spatially accurate definition of scale for images. The proposed
definition of local scale relies on the hierarchical structure of the topographic map, the set of …

The first impulse that led to this thesis came up at the Wednesday Workshop of the Institute
for Statistics and Econometrics at the University of Göttingen. At one such workshop Dr …