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Scale-Adaptive Superpixels

Related publications (33)

Color Image Segmentation Using a Fuzzy Inference System

A novel method is proposed in the scope of image segmentation that solves this problem by breaking it into two main blocks. The first block's functionality is a method to anticipate the color basis of each segment in segmented images. One of the challenges ...

IEEE2019

SUBDIVIDE AND CONQUER Active Contours and Surfaces for Biomedical Image Segmentation

Anaïs Laure Marie-Thérèse Badoual

Ongoing advances in imaging techniques create new demands regarding the analysis of images in medicine and biology. Image segmentation is a key step of many image analysis pipelines and its proper execution is a particularly challenging task. This thesis i ...

EPFL2019

Measurement and determinants of consistency across key pro-environmental consumption behaviours in EPFL community

Mehdi Tarik

This project focuses on the consistency and the reasons linked with some of the Environmental behaviors of EPFL community. A statistical and segmentation analysis will be performed, at first to investigate the consistency between people's behaviors and the ...

2018

Crowding asymmetries explained by a model of image segmentation

Michael Herzog, Gregory Francis, Adrien Christophe Doerig, Alban Bornet

In crowding, perception of a target deteriorates when neighboring flankers are presented. Flankers close to the fovea deteriorate performance less strongly than flankers presented peripherally, the well-known crowding asymmetries. For example, we presented ...

2017

, , , , ,

Purpose To suppress the noise, by sacrificing some of the signal homogeneity for numerical stability, in uniform T1 weighted (T1w) images obtained with the magnetization prepared 2 rapid gradient echoes sequence (MP2RAGE) and to compare the clinical utilit ...

Public Library of Science2014

MBIS: Multivariate Bayesian Image Segmentation tool

Jean-Philippe Thiran, Meritxell Bach Cuadra, Subrahmanyam Venkata Ravi Mohana Sai Gorthi

We present MBIS (Multivariate Bayesian Image Segmentation tool), a clustering tool based on the mixture of multivariate normal distributions model. MBIS supports multichannel bias field correction based on a B-spline model. A second methodological novelty ...

Elsevier Ireland Ltd2014

Spline-Based Deforming Ellipsoids for Interactive 3D Bioimage Segmentation

Michaël Unser, Ricard Delgado Gonzalo

We present a new fast active-contour model (a.k.a. snake) for image segmentation in 3D microscopy. We introduce a parametric design that relies on exponential B-spline bases and allows us to build snakes that are able to reproduce ellipsoids. We design our ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Automated segmentation of multiple red blood cells with digital holographic microscopy

Pierre Marquet, Daniel Boss

We present a method to automatically segment red blood cells (RBCs) visualized by digital holographic microscopy (DHM), which is based on the marker-controlled watershed algorithm. Quantitative phase images of RBCs can be obtained by using off-axis DHM alo ...

Spie-Soc Photo-Optical Instrumentation Engineers2013

Image Segmentation With Background Correction Using A Multiplicative Smoothing-Spline Model

Michaël Unser, Aurélien Bourquard, Ramtin Madani

This paper presents an image-segmentation method which compensates multiplicative distortions based on smooth regularity assumptions. In this work, we generalize the original Chan-Vese functional to handle a continuous multiplicative bias. In the derivatio ...

Ieee2012

Image Segmentation with Background Correction Using a Multiplicative Smoothing-Spline Model

Michaël Unser, Aurélien Bourquard, Ramtin Madani

IEEE2012

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