Communication Dans Un Congrès Année : 2010

An efficient combination of texture and color information for watershed segmentation

Résumé

A new segmentation technique based on a color watershed using an adaptive combination of color and texture information is pro- posed on this paper. This information is represented by two morpholog- ical gradients, a classical color gradient and a texture gradient based on co-occurrence matrices texture features. The two morphological gradi- ents are then mixed using a gradient component fusion strategy and an adaptive technique to choose the weighting coefficients. The segmenta- tion process is finally performed by applying the watershed algorithm. The obtained results are then evaluated with the MSE for several sets of parameters and color spaces.
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Dates et versions

hal-01250728 , version 1 (15-10-2024)

Identifiants

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Cyril Meurie, Andrea Cohen, Yassine Ruichek. An efficient combination of texture and color information for watershed segmentation. International Conference on Image and Signal Processing, Jun 2010, Trois-Rivières, Canada. p147-156, ⟨10.1007/978-3-642-13681-8_18⟩. ⟨hal-01250728⟩
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