Mitosis extraction with a new color object detector.

Audrey Ledoux (1) , Noël Richard (2) , Anne-Sophie Capelle-Laizé (1)

1 XLIM-SIC - SIC
2 XLIM - XLIM

The hit-or-miss transform is a mathematical morphological process designed to find objects in images. Its extension to grayscale domain is not unique but Barat's method appears as the most appropriate to find specific objects with a spatio-colorimetric template. This template, constructed with non-flat structuring elements, allows a color and shape selectivity. The color extension is constructed with a new color mathematical morphology based on the concept of ''convergence''. In this paper, we show the ability to parameterize this tool from the shape and the color of objects. We illustrate the use of this color objects detector in the mitosis detection context.

Mots clés: Hit-or-miss transform; mathematical morphology; perceptual color; mitosis detection.; mitosis detection

Domaines: Traitement des images [eess.IV]

Audrey Ledoux, Noël Richard, Anne-Sophie Capelle-Laizé. Mitosis extraction with a new color object detector.. Atelier Traitement et Analyse des Images, Méthodes et Applications (TAIMA), May 2013, Hammamet, Tunisia. pp.00. ⟨hal-00814122⟩