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Robust Image Reconstruction from Multiview Measurements

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Adaptive Hough transform for the detection of natural shapes under weak affine transformations

Jean-Philippe Thiran

This paper introduces a two-steps adaptive generalized Hough transform (GHT) for the detection of non-analytic objects undergoing weak affine transformations in images. The first step of our algorithm coarsely locates the region of interest with a GHT for ...

2004

Band Moire images

Roger Hersch, Sylvain Chosson

We propose a new powerful way of synthesizing moire images that enables the creation of dynamically moving messages incorporating text, symbols, and color elements. Moire images appear when superposing a base layer made of replicated base bands and a revea ...

2004

Variable Step-Size NLMS and Affine Projection Algorithms

Ali H. Sayed

This letter proposes two new variable step-size algorithms for normalized least mean square and affine projection. The proposed schemes lead to faster convergence rate and lower misadjustment error. ...

Institute of Electrical and Electronics Engineers2004

Fixed Point Probability Field for Occlusion Handling

Pascal Fua, François Fleuret

In this paper, we show that in a multi-camera context, we can effectively handle occlusions at each time frame independently, even when the only available data comes from the binary output of a fairly primitive motion detector. We start from occupancy prob ...

2004

Simultaneous Registration and Bias Correction of Brain Intra-operative MR Images

Jean-Philippe Thiran, Torsten Butz, Benoît Macq, Mathieu De Craene

Intra-operative MR imaging is an emerging tool for image guided (neuro)surgery. Due to the small size of the magnets and the short acquisition time, the images produced by such devices are often subject to distortions. In this work, we show the particular ...

SPIE2003

Automatic Morphometry of Nerve Histological Sections

Olivier Cuisenaire, Benoît Macq

A method for the automatic segmentation, recognition and measurement of neuronal myelinated fibers in nerve histological sections is presented. In this method, the fiber parameters i.e. perimeter, area, position of the fiber and myelin sheath thickness are ...

2000

Distance transformations: fast algorithms and applications to medical image processing

Olivier Cuisenaire

Medical image processing is a demanding domain, both in terms of CPU and memory requirements. The volume of data to be processed is often large (a typical MRI dataset requires 10 MBytes) and many processing tools are only useful to the physician if they ar ...

1999

Automatic segmentation and measurement of axones in microscopic images

Olivier Cuisenaire

We propose a method for the automatic segmentation, recognition and measurement of neuronal fibers in microscopic images of nerves. This permits a quantitative analysis of the distribution of the areas of the fibers, while nowadays such morphometrical meth ...

IEEE1999

Geometric Aspects in 3D Biomedical Image Processing

Michaël Unser, Philippe Thévenaz

We present some issues that arise when a geometric transformation is performed on an image or a volume. In particular, we illustrate the well-known problems of blocking, blurring, aliasing and ringing. Although the solution to these problems is trivial in ...

ASMT/SGMT1998

A Pyramid Approach to Subpixel Registration Based on Intensity

Michaël Unser, Philippe Thévenaz

We present an automatic sub-pixel registration algorithm that minimizes the mean square difference of intensities between a reference and a test data set, which can be either tri-dimensional (3-D) volumes or bi-dimensional (2-D) images. It uses spline proc ...

IEEE1998