Abstract
A model for texture description, called “Primitive and Point Configuration (PPC) texture model,” and an estimation method of the primitive, which is an elementary object for configuring a texture, are proposed in this paper. The PPC texture model regards that a texture is composed by arranging grains that are derived from one or a few primitives by some modification. The primitive shape is estimated by the principle that the primitive resembling the grains best should be the optimal estimation. This estimation is achieved by finding the structuring element that minimizes the integral of the size distribution function of a target texture.
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Asano, A., Ohkubo, T., Muneyasu, M., Hinamoto, T. (2003). Primitive and Point Configuration Texture Model and Primitive Estimation Using Mathematical Morphology. In: Bigun, J., Gustavsson, T. (eds) Image Analysis. SCIA 2003. Lecture Notes in Computer Science, vol 2749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45103-X_25
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DOI: https://doi.org/10.1007/3-540-45103-X_25
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