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Recognition of local symmetries in gray value images by harmonicfunctions

机译:谐波识别灰度图像中的局部对称性功能

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A method for modeling symmetries of the neighborhoods ingray-value images is derived. It is based on the form of theiso-gray-value curves. For every neighborhood a complex number isobtained through a convolution of a complex-valued image with acomplex-valued filter. The magnitude of the complex number is the degreeof symmetry with respect to the a priori chosen harmonic function pair.The degree of symmetry has a clear definition which is based on theerror in the Fourier domain. The argument of the complex number is theangle representing the relative dominance of one of the pair of harmonicfunctions compared to the other
机译:一种建模邻域对称的方法 得出灰度图像。它基于 等灰度值曲线。对于每个邻域,复数是 通过对复数值图像进行卷积得到 复值过滤器。复数的大小是度 关于先验选择的谐波函数对的对称性。 对称度有一个明确的定义,该定义基于 傅立叶域中的错误。复数的参数是 代表一对谐波之一的相对优势的角度 与其他功能相比

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