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An adaptive fuzzy approach for texture modelling

机译:自适应模糊建模方法

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In this paper, a method to adapt the fuzzy sets that models the ”coarseness” texture property according to different coarse-fine perceptions is proposed. The membership functions associated to these fuzzy sets are obtained on the basis of the human assessments given by a pool, that represent the average coarse-fine perception degree. In the proposed method, the user''s particular perception about coarseness-fineness and the changes in perception influenced by the image context have been taken into account to adapt the models. The membership functions are automatically adapted by means of a transformation of functions on the basis of the new coarse-fine perception.
机译:在本文中,提出了一种根据不同的粗糙-精细感知来对“粗糙”纹理特性建模的模糊集的自适应方法。与这些模糊集相关的隶属度函数是根据池给出的人工评估获得的,这些评估代表了平均粗细感知度。在提出的方法中,已经考虑了用户对粗度-细度的特定感知以及受图像上下文影响的感知变化,以适应模型。隶属函数通过在新的粗略感知基础上的函数转换自动进行调整。

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