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Scale-Adaptive Superpixels

Publications associées (33)

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Multimodal Evaluation for Medical Image Segmentation

Meritxell Bach Cuadra

This paper is a joint effort between five institutions that introduces several novel similarity measures and combines them to carry out a multimodal segmentation evaluation. The new similarity measures proposed are based on the location and the intensity v ...

Springer Berlin / Heidelberg2007

Fast Global Minimization of the Active Contour/Snake Model

Jean-Philippe Thiran, Pierre Vandergheynst, Xavier Bresson

The active contour/snake model is one of the most successful variational models in image segmentation. It consists of evolving a contour in images toward the boundaries of objects. Its success is based on strong mathematical properties and efficient numeri ...

2007

Dense Deformation Field Estimation for Atlas Registration using the Active Contour Framework

Jean-Philippe Thiran, Meritxell Bach Cuadra, Xavier Bresson, Valérie Duay

In this paper, we propose a new paradigm to carry out the registration task with a dense deformation field derived from the optical flow model and the active contour method. The proposed framework merges different tasks such as segmentation, regularization ...

INTEL2006

This paper proposes an image segmentation model based on the active contour model, the Mumford-Shah functional and the image decomposition process. Generally speaking, the active contour model detects boundaries in images from sharp intensities variations ...

IEEE2006

On Evaluating Metrics For Video Segmentation Algorithms

Touradj Ebrahimi, Elisa Drelie Gelasca

Evaluation is a central issue in the design, implementation, and performance assessment of all systems. Recently, a number of metrics have been proposed to assess the performance of segmentation algorithms for image and video data. This paper provides an o ...

INTEL2006

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 Image Segmentation Using Active Contours

Jean-Philippe Thiran, Xavier Bresson, Laura Ioana Gui

We propose a new approach for image segmentation at different scales of observation, based on a multiscale image decomposition and on the active contour segmentation model. The proposed method consists of two steps. Firstly, a representation of a given ima ...

2005

Shadow segmentation and tracking in real-world conditions

Elena Salvador

Visual information, in the form of images and video, comes from the interaction of light with objects. Illumination is a fundamental element of visual information. Detecting and interpreting illumination effects is part of our everyday life visual experien ...

EPFL2004

Interaction between High-Level and Low-Level Image Analysis for Semantic Video Object Extraction

Touradj Ebrahimi, Andrea Cavallaro

The task of extracting a semantic video object is split into two subproblems, namely, object segmentation and region segmentation. Object segmentation relies on a priori assumptions, whereas region segmentation is data-driven and can be solved in an automa ...

2004

The Snake Origin

Active contours (snakes) provide a unified account of a number of visual problems, including detection of edges, lines and subjective contours as well as motion tracking and stereo matching. Since their first apparition the researchers of the image process ...

2003