Abstract
The experience with todays texture shows, that it helps only little for the interpretation of CT images in the medical field, since first it is not easy to choose the correct texture parameter from the zoo of exsisting ones and second the texture parameters in general do not match human visual impressions. The following concept shows, how texture parameter can be grouped in families, which gives a better insigth into texture analysis. Each class of texture parameter is represented by a complete set of texture parameters avoiding redundancies. Those families and their texture parameters are adopted to the human texture impressions and are therefore called ‘cognitive texture parameters’.
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© 1989 Springer-Verlag Berlin Heidelberg
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Scheppelmann, D., Saurbier, F., Meinzer, H.P., Klemstein, J. (1989). Cognitive Texture Parameters — the Link to Artificial Intelligence. In: Burkhardt, H., Höhne, K.H., Neumann, B. (eds) Mustererkennung 1989. Informatik-Fachberichte, vol 219. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75102-8_41
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DOI: https://doi.org/10.1007/978-3-642-75102-8_41
Publisher Name: Springer, Berlin, Heidelberg
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