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Scale-Adaptive Superpixels
Related publications (33)
An Efficient Algorithm for Level Set Method Preserving Distance Function
Jean-Philippe Thiran, Xavier Bresson, Dominique Zosso, Virginia Estellers Casas
The level set method is a popular technique for tracking moving interfaces in several disciplines including computer vision and fluid dynamics. However, despite its high flexibility, the original level set method is limited by two important numerical issue ...
Institute of Electrical and Electronics Engineers2012Finding Objects of Interest in Images using Saliency and Superpixels
The ability to automatically find objects of interest in images is useful in the areas of compression, indexing and retrieval, re-targeting, and so on. There are two classes of such algorithms – those that find any object of interest with no prior knowledg ...
EPFL2011On the Convergence of EM-Like Algorithms for Image Segmentation using Markov Random Fields
Meritxell Bach Cuadra, Delphine Ribes Lemay, Gunnar Krüger, Alexis Roche
Inference of Markov random field images segmentation models is usually performed using iterative methods which adapt the well-known expectation-maximization (EM) algorithm for independent mixture models. However, some of these adaptations are ad-hoc and ma ...
2011Interactive Segmentation of 3D Medical Images with Implicit Surfaces
To cope with a variety of clinical applications, research in medical image processing has led to a large spectrum of segmentation techniques that extract anatomical structures from volumetric data acquired with 3D imaging modalities. Despite continuing adv ...
EPFL2011Material-Based Object Segmentation Using Near-Infrared Information
Sabine Süsstrunk, Neda Salamati
We present a framework to incorporate near-infrared (NIR) information into algorithms to better segment objects by isolating material boundaries from color and shadow edges. Most segmentation algorithms assign individual regions to parts of the object that ...
2010Variational methods for texture segmentation
In the last decades, image production has grown significantly. From digital photographs to the medical scans, including satellite images and video films, more and more data need to be processed. Consequently the number of applications based on digital imag ...
EPFL2009A Multimodal Evaluation Method for Medical Image Segmentation
Evaluation of segmentation methods is a crucial aspect in image processing, especially in the medical imaging field, where small differences between segmented regions in the anatomy can be of paramount importance. Usually, segmentation evaluation is based ...
2009Variational B-Spline Level-Set Method for Fast Image Segmentation
Michaël Unser, Philippe Thévenaz
In the field of image segmentation, most of level-set-based active contour approaches are based on a discrete representation of the associated implicit function. We present in this paper a different formulation where the level-set is modelled as a continuo ...
IEEE2008Scene image classification and segmentation with quantized local descriptors and latent aspect modeling
The ever increasing number of digital images in both public and private collections urges on the need for generic image content analysis systems. These systems need to be capable to capture the content of images from both scenes and objects, in a compact w ...
École Polytechnique Fédérale de Lausanne2007Scene image classification and segmentation with quantized local descriptors and latent aspect modeling
The ever increasing number of digital images in both public and private collections urges on the need for generic image content analysis systems. These systems need to be capable to capture the content of images from both scenes and objects, in a compact w ...
EPFL2007