• Publications
  • Influence
Bayesian algorithms for adaptive change detection in image sequences using Markov random fields
In many conventional methods for change detection, the detections are carried out by comparing a test statistic, which is computed locally for each location on the image grid, with a globalExpand
  • 187
  • 19
Statistical model-based change detection in moving video
Abstract A major issue with change detection in video sequences is to guarantee robust detection results in the presence of noise. In this contribution, we first compare different test statistics inExpand
  • 344
  • 14
MATLAB Meets LEGO Mindstorms—A Freshman Introduction Course Into Practical Engineering
In today's teaching and learning approaches for first-semester students, practical courses more and more often complement traditional theoretical lectures. This practical element allows an earlyExpand
  • 124
  • 10
Analysis of Superimposed Oriented Patterns
Estimation of local orientation in images may be posed as the problem of finding the minimum gray-level variance axis in a local neighborhood. In bivariate images, the solution is given by theExpand
  • 77
  • 10
Simultaneous Reconstruction of Activity and Attenuation for PET/MR
Medical investigations targeting a quantitative analysis of the position emission tomography (PET) images require the incorporation of additional knowledge about the photon attenuation distributionExpand
  • 148
  • 9
Temperature responses of roots: impact on growth, root system architecture and implications for phenotyping.
Root phenotyping is a challenging task, mainly because of the hidden nature of this organ. Only recently, imaging technologies have become available that allow us to elucidate the dynamicExpand
  • 146
  • 9
Illumination-Invariant Change Detection Using a Statistical Colinearity Criterion
This paper describes a newalgorithm for illumination-invariant change detection that combines a simple multiplicative illumination model with decision theoretic approaches to change detection. TheExpand
  • 50
  • 6
Directional View Interpolation for Compensation of Sparse Angular Sampling in Cone-Beam CT
In flat detector cone-beam computed tomography and related applications, sparse angular sampling frequently leads to characteristic streak artifacts. To overcome this problem, it has been suggestedExpand
  • 43
  • 5
Multiple-Motion-Estimation by Block-matching using MRF
This paper deals with the problem of estimating multiple motions at points where these motions are overlaid. We present a new approach that is based on block-matching and can deal with bothExpand
  • 10
  • 5
Texture Classification by Modeling Joint Distributions of Local Patterns With Gaussian Mixtures
Texture classification generally requires the analysis of patterns in local pixel neighborhoods. Statistically, the underlying processes are comprehensively described by their joint probabilityExpand
  • 100
  • 4