Image segmentation is an important tool in image processing and can serve as an efficient front end to sophisticated algorithms and thereby simplify subsequent processing. Image segmentation by region merging follows a particular order in the choice of regions. The target of segmentation is always to simplify and/or change the representation of a graphic into something that is more meaningful a...

Interest in video segmentation has grown significantly in recent years, resulting in a large body of works along with advances in both methods and datasets. Progress in video segmentation would enable new approaches to building 3D object models from video, understanding dynamic scenes, robot-object interaction and several other high-level vision tasks. The workshop brought together a broad and ...

La segmentation précise des tissus et des structures présents dans des IRM anatomique est indispensable à de nombreuses applications. La plupart des approches considèrent d’abord la segmentation des tissus puis ensuite celle des structures de manière indépendante. Nous proposons dans cet article une approche markovienne coopérative qui se fonde sur le raffinement mutuel des segmentations en tis...

The segmentation of the vertebrate body plan during embryonic development is a rhythmic and sequential process governed by genetic oscillations. These genetic oscillations give rise to traveling waves of gene expression in the segmenting tissue. Here we present a minimal continuum theory of vertebrate segmentation that captures the key principles governing the dynamic patterns of gene expressio...

We propose a novel approach for image segmentation on the basis of a neural oscillator network. Unlike previous approaches, weight adaptation is introduced during segmentation for noise removal and feature preservation. Moreover, a logarithmic grouping rule is proposed to facilitate grouping of oscillators representing pixels with coherent properties. We show that our weight adaptation scheme i...

We present a novel algorithm for optimally segmenting dynamic scenes containing multiple rigidly moving objects. We cast the motion segmentation problem as a constrained nonlinear least squares problem which minimizes the reprojection error subject to all multibody epipolar constraints. By converting this constrained problem into an unconstrained one, we obtain an objective function that depend...

BACKGROUND Positron emission tomography (PET) with (18)F-3'-deoxy-3'-fluorothymidine ([(18)F]FLT) can be used to assess tumour proliferation. A kinetic-filtering (KF) classification algorithm has been suggested for segmentation of tumours in dynamic [(18)F]FLT PET data. The aim of the present study was to evaluate KF segmentation and its test-retest performance in [(18)F]FLT PET in non-small ce...

We describe and propose an implementation of a dynamic programming algorithm for the segmentation of annotated piecewise constant signals. The algorithm is exact in the sense that it recovers the best possible segmentation w.r.t. the quadratic loss that agrees with the annotations.

In this paper a novel multi-stroke sketch recognition method is presented. This method integrates the stroke segmentation and sketch recognition into a single approach, in which both stroke segmentation and sketch recognition are uniformed as a problem of “fitting to a template” with a minimal fitting error, and a nesting Dynamic Programming algorithm is designed to accelerate the optimizing ap...