• Publications
  • Influence
Information combination operators for data fusion: a comparative review with classification
  • I. Bloch
  • Mathematics, Computer Science
  • IEEE Trans. Syst. Man Cybern. Part A
  • 1996
TLDR
A classification of operators issued from the different data fusion theories with respect to their behavior provides a guide for choosing an operator in a given problem and can be refined from the desired properties of the operators, from their decisiveness, and by examining how they deal with conflictive situations. Expand
A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes
TLDR
This paper reviews state-of-the-art literature on vascular segmentation with a particular focus on 3D contrast-enhanced imaging modalities (MRA and CTA) and discusses the theoretical and practical properties of recent approaches and highlight the most advanced and promising ones. Expand
Fuzzy mathematical morphologies: A comparative study
TLDR
The purpose of this paper is to present and discuss the different ways to build a fuzzy mathematical morphology, and compare their properties with respect to mathematical morphology and to fuzzy sets and interpret them in terms of logic and decision theory. Expand
Fuzzy Relative Position Between Objects in Image Processing: A Morphological Approach
  • I. Bloch
  • Mathematics, Computer Science
  • IEEE Trans. Pattern Anal. Mach. Intell.
  • 1 July 1999
TLDR
A new definition of the relative position between two objects in a fuzzy set framework is proposed, based on a morphological and fuzzy pattern-matching approach, and consists of comparing an object to a fuzzy landscape representing the degree of satisfaction of a directional relationship to a reference object. Expand
Fuzzy spatial relationships for image processing and interpretation: a review
  • I. Bloch
  • Mathematics, Computer Science
  • Image Vis. Comput.
  • 1 February 2005
TLDR
The main fuzzy approaches for defining spatial relationships including topological (set relationships, adjacency) and metrical relations (distances, directional relative position) are reviewed. Expand
Multiple Hypothesis Tracking for Cluttered Biological Image Sequences
TLDR
The proposed method for simultaneously tracking thousands of targets in biological image sequences, which is of major importance in modern biology, is presented and the benefits of advanced Bayesian tracking techniques for the accurate computational modeling of dynamical biological processes are demonstrated. Expand
From 3D magnetic resonance images to structural representations of the cortex topography using topology preserving deformations
TLDR
An algorithm allowing the construction of a structural representation of the cortical topography from a T1-weighted 3D MR image and an attributed relational graph (ARG) inferred from the 3D skeleton of the object made up of the union of gray matter and cerebro-spinal fluid enclosed in the brain hull is proposed. Expand
On fuzzy distances and their use in image processing under imprecision
  • I. Bloch
  • Mathematics, Computer Science
  • Pattern Recognit.
  • 1 November 1999
TLDR
A classification of fuzzy distances with respect to the requirements needed for applications in image processing under imprecision is proposed and new distances based on mathematical morphology are proposed. Expand
Distortion correction and robust tensor estimation for MR diffusion imaging
TLDR
A new procedure to estimate the diffusion tensor from a sequence of diffusion-weighted images by replacing the standard least squares-based approach by the Geman-McLure M-estimator, in order to reduce outlier-related artefacts. Expand
Mathematical Morphology
TLDR
This book presents an up–to–date treatment of mathematical morphology, based on the three pillars that made it an important field of theoretical work and practical application: a solid theoretical foundation, a large body of applications and an efficient implementation. Expand
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