Abstract
In this paper the problem of texture description for image browsing or annotation is approached. Previous works in this direction have proposed solutions that have shown to be limited due to the high degree of complexity natural textures can achieve. This problem is solved here by defining textures as a combination of several subtexture components, whose description is simpler since they only have one characteristic element. A computational method based on multiscale filtering with Laplacian of Gaussian is presented to identify the subtexture components of a texture, and a texture description based on these subtexture components attributes is given.
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Salvatella, A., Vanrell, M., Baldrich, R. (2003). Subtexture Components for Texture Description. In: Perales, F.J., Campilho, A.J.C., de la Blanca, N.P., Sanfeliu, A. (eds) Pattern Recognition and Image Analysis. IbPRIA 2003. Lecture Notes in Computer Science, vol 2652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44871-6_102
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DOI: https://doi.org/10.1007/978-3-540-44871-6_102
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