A graph-based color lines model for image analysis

D Duque-Arias (1) , Santiago Velasco-Forero (1) , Francois Goulette (2) , Jean-Emmanuel Deschaud (2) , Beatriz Marcotegui (1)

1 CMM - Centre de Morphologie Mathématique
2 CAOR - Centre de Robotique

This paper addresses the problem of obtaining a concise description of spectral representation for color images. The proposed method is a graph-based formulation of the well-known Color Lines model. It generalizes the lines to piece-wise lines, been able to fit more complex structures. We illustrate the goodness of proposed method by measuring the quality of the simplified representations in images and videos. The quality of video sequences reconstructed by means of proposed color lines extracted from the first frame demonstrates the robustness of our representation. Our formalism allows to address applications such as image segmentation, shadow correction among others.

Mots clés: spectral representation; Color lines; minimum spanning tree; Gaussian Mixture Model; Image representation; graph based modeling

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]; Traitement des images [eess.IV]; Autre [cs.OH]

D Duque-Arias, Santiago Velasco-Forero, Francois Goulette, Jean-Emmanuel Deschaud, Beatriz Marcotegui. A graph-based color lines model for image analysis. International Conference on Image Analysis and Processing, Sep 2019, Trento, Italy. ⟨10.1007/978-3-030-30645-8_17⟩. ⟨hal-02182477v2⟩