In this work we approach the analysis and segmentation of natural textured images by
combining ideas from image analysis and probabilistic modeling. We rely on AM-FM texture …

This paper describes a machine vision system that classifies reflectance properties of
surfaces such as metal, plastic, or paper, under unknown real-world illumination. We …

In this thesis, novel methods for estimation of orientation and velocity are presented. The
methods are designed exclusively in the spatial domain. Two important concepts in the use …

高光谱遥感图像受到成像系统硬件限制, 无法同时具有高空间分辨率和高光谱分辨率,
较低的空间分辨率制约高光谱图像的应用, 超分辨率重建技术可提高图像的空间分辨率 …

Variable higher pulse repetition frequencies (PRFs) are increasingly being used to meet the
stricter requirements and complexities of current airborne and spaceborne synthetic …

A multiscale algorithm for energy-based estimation and representation of local
spatiotemporal structure by second order symmetric tensors is presented. An efficient …

A novel and powerful perspective on image reconstruction and restoration is to regard the
computational objective as the classification of corrupt (= unclassified) pixels using the …

Humans distinguish materials such as metal, plastic, and paper effortlessly at a glance.
Traditional computer vision systems cannot solve this problem at all. Recognizing surface …

Signal estimation for sparsely and irregularly sampled signals can be carried out using
either noniterative methods, or iterative methods or methods that deal with irregular samples …

We demonstrate how known convolution techniques for uncertain data can be used to set
the shapes of structuring elements in adaptive mathematical morphology, enabling robust …