Abstract
In this paper, we explore an original way to compute texture features for color images in a vector process. Using a dedicated approach for color ordering, we produce a complete framework for color mathematical morphology adapted to human visual system characteristics. Then, morphological multiscale texture features are defined. To understand the texture feature behavior, we present the feature response to basic images variations. Finally, we compare the texture feature performance in front of a classical classification task using Outex database.
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Notes
The contrast is the distance/difference between two values.
The number of patterns per line is equal to the number of patterns per column.
References
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Ledoux, A., Richard, N. Color and multiscale texture features from vectorial mathematical morphology. SIViP 10, 431–438 (2016). https://doi.org/10.1007/s11760-015-0759-3
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DOI: https://doi.org/10.1007/s11760-015-0759-3