随机离散图象的统计模型研究
The Investigation of Statistical Model of Discrete Random Images
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摘要: 本文根据高斯-马尔可夫过程的自相关特性和图象样本自相关序列的变化规律,提出了 一个二维相关函数模型.用此模型对一些实际图象的统计特性所作的研究,证实了本文研究 结果的正确性.文中还研究了图象相关长度的意义和确定方法.Abstract: Based on the autocorrelation characterization of Gauss-Markov process and varying rule of sample autocorrelation sequence of the image, a two-dimensional autocorrelation function model is proposed in this paper. Using this model, the statistical characterization of several practical images has been investigated and the validity of the research results has been jcstifled. The significance of image cordelation length and its determination method is also discussed.
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