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

Temporary

Associated

Anis Amziane

Texture features from multispectral images acquired under uncontrolled conditions. Application to automatic identification of weeds in field crops

Sofiane Mihoubi

Demosaicing and classification of multi-spectral images 2018-11-22

Arezki Aberkane

Edge detection on Bayer CFA image. 2017-12-21

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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