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Local Structure of Gaussian Texture

机译:高斯纹理的局部结构

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The joint histogram of second order scale space differential invariants of natural images (including textures) is typically clustered about parabolic surface patches, whereas symmetrical elliptical patches (local convexities or concavities) are very rare and symmetrical hyperbolical patches also occur less frequently than parabolic patches. We trace the origin of this striking effect in the context of Gaussian random noise. For this case one may derive the joint histogram of curvedness and shape index analytically. The empirical observations are fully corroborated. In deriving these results we introduce a polar coordinate system in the space of second order scale space derivatives that turns out to be particularly useful in the study of the statistics of local curvature properties. The empirical observations apply also to non-Gaussian noise (e.g., Brownian noise) as well as to photographs of natural scenes. We discuss general arguments that help explain these observations.
机译:自然图像(包括纹理)的二阶尺度空间微分不变性的联合直方图通常聚集在抛物线形面块周围,而对称的椭圆形块(局部凸面或凹面)很少见,对称的双曲线形块也比抛物面形块出现的频率更低。我们在高斯随机噪声的背景下追踪了这种惊人效果的起源。对于这种情况,可以分析得出弯曲度和形状指数的联合直方图。实证观察得到了充分的证实。在得出这些结果时,我们在二阶标度空间导数的空间中引入了极坐标系,该极坐标系在研究局部曲率特性的统计数据中特别有用。经验观察也适用于非高斯噪声(例如布朗噪声)以及自然景物的照片。我们讨论有助于解释这些观察结果的一般性论点。

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