Image

Imagerie Couleur team

color image

Leader: Ludovic Macaire

PRESENTATION MEMBERS THESES PUBLICATIONS

Presentation

The Color Image team designs automatic analysis schemes for images that represent the color information in observed scenes. Its researchers work on
- Extracting local or global features from CFA or raw images acquired by color cameras equipped with one sensor,
- Selecting color spaces that are adapted to the segmentation of full color images that have been provided by three-sensor cameras,
- Recognizing objects under uncontrolled acquisition conditions by the analysis of multi-spectral images in the visible spectrum.

Here is our main application: The quality or dimension control of manufactured objects. For example:

  • color vision system which detects aspect flaws occurring on the color surfaces of drinking glasses decorated thanks to an industrial silk-screen process

  • embedded vision system which measures the cross section of catenary contact wire

  • color vision system that inspects the frozen meat.

We also develop automatic diagnostic of turbo-alternator by pattern recognition with L2EP Institute.

Members

Permanent

  • Professor
    • Ludovic Macaire (Responsable)
  • Associate professors
    • Olivier Losson
    • Benjamin Mathon

Temporary

  • Phd students
    • Arezki Aberkane
    • Sofiane Mihoubi
  • Other
    • Zohra Haliche

Associated

  • Associate professor
    • Luc Duvieubourg

Arezki Aberkane

Analyse d'images CFA pour l'extraction de nouveaux descripteurs robustes

Sofiane Mihoubi

Classification semi-supervisée de textures multi-spectrales

Peter Oluwanisola Fasogbon

Dimensional measurement of metallic object by 3D vision 2016-11-23

Alexandre Bacchus

Représentativité de la modélisation aux éléments finis pour le diagnostic de machines synchrones de grande puissance 2016-02-24

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