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Image viewing system and method for generating filters for filtering image features according to their type

机译:图像查看系统和用于生成用于根据图像特征过滤图像特征的过滤器的方法

摘要

Image processing system for generating a multidimensional adaptive oriented filter to be applied to the point intensities of a d-dimensional image, comprising analyzing means with means (5, fi) to estimate at each image point a probability measure (Fi) of the presence of a type of feature of interest and a weighting control model (10) issuing a weighting control vector (11, VC) constructed from said probability measure, for the user to control synthesized adaptive kernels at each image point; and synthesizing means for generating the filter kernels at each image point adapted to the type of the features of interest, whose filtering strength is controlled by the weighting control vector. The system may comprise a selection unit (40) for the user to select synthesizing means for generating “pre-mixing filtering means” comprising combining means (30, XH) dependent on the type of the image features having inputs for the weighting control vector (11, VC) and the image data [I(x)] and having an aspect for weighted adaptive kernels (35, H) adapted to the type of the image features to produce the filtered image signal [H(x)], and/or “post-mixing filtering means” comprising both isotropic and anisotropic filtering means [15, gi)] applied independently of the type of the image features, whose outputs (Gi) are combined at each image point and adapted using the weighting control vector (11, VC) to produce the filtered image signal [G(x)].
机译:用于生成要应用于d维图像的点强度的多维自适应定向滤波器的图像处理系统,包括分析装置,该分析装置具有在每个图像点估计概率度量的装置( 5 ,fi) (Fi)是否存在感兴趣的特征类型,以及权重控制模型( 10 )发出由所述概率测度构造的权重控制向量( 11 ,VC) ,供用户在每个图像点控制合成的自适应内核;合成装置,用于在每个图像点上生成与感兴趣特征的类型相适应的滤波核,该滤波核的滤波强度由加权控制向量控制。该系统可以包括选择单元( 40 ),供用户选择用于生成“预混合滤波装置”的合成装置,该“预混合滤波装置”包括取决于图像特征的类型,具有用于加权控制矢量( 11 ,VC)和图像数据[I(x)]的输入,并具有用于加权自适应核( 35 ,H)适应图像特征的类型以产生滤波后的图像信号[H(x)],和/或同时包括各向同性和各向异性滤波装置[ 15 ,gi)]的应用与图像特征的类型无关,其输出(Gi)在每个图像点进行组合,并使用加权控制矢量( 11 ,VC)进行调整以生成滤波后图像信号[G(x)]。

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