Modes detection of color histogram for color image segmentation

Halima Remmach (1) , Aziza Mouradi (2) , Abderrahmane Sbihi (1) , Ludovic Macaire (3) , Olivier Losson (3)

1 LASTID - Laboratoire Systèmes de Télécommunications et Ingénierie de la Décision
2 LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558
3 LAGIS-SI

The aim of this study is to use a color image segmentation based on pixel classification, where pixels of the image are grouped into classes. To do this, we proceed by analyzing the histogram of the image. We seek to identify the modes of the histogram, namely the areas of color space with a high density of probability. To identify these modes, mathematical morphology techniques are used. The application of watersheds on the color histogram leads to an over partitioning of the color plane, hence the need to merge modes using a new structure named the modes adjacency graph.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Halima Remmach, Aziza Mouradi, Abderrahmane Sbihi, Ludovic Macaire, Olivier Losson. Modes detection of color histogram for color image segmentation. ICGST International Conference on Computer Science and Engineering, Dec 2011, Istanbul, Turkey. pp.163-167, ⟨10.1007/978-3-642-27337-7_25⟩. ⟨hal-00733979⟩