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Multi-Scale B-Spline Snakes for General Contour Detection

Publications associées (51)

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Unsupervised multiscale image segmentation

Ana Dimitrijevic

In the early stages of visual information processing one of the most fundamental and complex task is segmentation. This process is used to divide images or image sequences into meaningful regions or objects. Such a representation is definitely needed to go ...

EPFL2006

A Snake-Based Approach to Accurate Determination of Both Contact Points and Contact Angles

Patrik Willi Hoffmann, Daniel Sage, Laura Barbieri, Gerit Kulik

We present a new method based on B-spline snakes (active contours) for measuring high-accuracy contact angles. In this approach, we avoid making physical assumptions by defining the contour of the drop as a versatile B-spline curve. When useful, we extend ...

Elsevier2006

Template-Based Semi-Automatic Profiling of Multimedia Applications

David Atienza Alonso

Modern multimedia applications possess a very dynamic use of the memory hierarchy depending on the actual input, therefore requiring run-time profiling techniques to enable optimizations. Because they can contain hundreds of thousands of lines of complex o ...

IEEE Press2006

Image segmentation with variational active contours

Xavier Bresson

An important branch of computer vision is image segmentation. Image segmentation aims at extracting meaningful objects lying in images either by dividing images into contiguous semantic regions, or by extracting one or more specific objects in images such ...

EPFL2005

Multiscale Active Contours

Jean-Philippe Thiran, Pierre Vandergheynst, Xavier Bresson

In this paper, we propose an evolution equation for the active contours in scale spaces. This evolution equation is based on the Polyakov functional that has been first introduced in physics and has been then used in image processing in ...

SPIE2005

Multiscale Active Contours

Jean-Philippe Thiran, Pierre Vandergheynst, Xavier Bresson

In this paper, we propose two approaches to define an evolution equation for the active contours in scale spaces. The evolution equation is based on the Polyakov functional that has been first introduced in physics and has been then used in image processin ...

2004

Matching pursuit-based shape description and recognition in active contours

François Mendels

This thesis is dedicated to the study of a new framework linking image segmentation and shape recognition processes in the image processing domain. Image segmentation process aims at separating an image into homogenous regions, the homogeneity measure depe ...

EPFL2004

Efficient Energies and Algorithms for Parametric Snakes

Michaël Unser, Thierry Blu, Mathews Jacob

Parametric active contour models are one of the preferred approaches for image segmentation because of their computational efficiency and simplicity. However, they have a few drawbacks which limit their performance. In this paper, we identify some of these ...

IEEE2004

Splines and Wavelets: New Perspectives for Pattern Recognition

Michaël Unser

We provide an overview of spline and wavelet techniques with an emphasis on applications in pattern recognition. The presentation is divided in three parts. In the first one, we argue that the spline representation is ideally suited for all processing task ...

DAGM e. V2003

Optimization of semiconductor–metal hybrid structures for application in magnetic-field sensors and read heads

Dirk Grundler

Semiconductor–metal hybrid structures can exhibit a very large geometrical magnetoresistanceeffect, the so-called extraordinary magnetoresistance (EMR) effect. Using the finite element method, we study the EMR effect in rectangular semiconductor–metal hybr ...

American Institute of Physics2003