基于遮挡和最大熵的二维图像模型

Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers Pub Date : 1995-10-30 DOI:10.1109/ACSSC.1995.540935

J. Stuller

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引用次数: 3

摘要

本文为二维图像自相关函数的形成提供了新的见解。我们将图像建模为具有随机位置，形状和强度的单个遮挡物体图像的最大熵组合。我们推导了该图像模型的自相关函数，给出了一个例子，并评论了频繁提出的自协方差、可分性和各向同性假设的合理性。

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A two-dimensional image model based on occlusion and maximum entropy

This paper provides new insights into the formation of two-dimensional image autocorrelation functions. We model an image as a maximum-entropy composition of individual occluding object images that have random positions, shapes and intensities. We derive the autocorrelation function of this image model, give an example, and comment on the reasonableness of the frequently-made assumptions of autocovariance separability and isotropy.

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Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers

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