The notion of random selection is extended to random harmonious average of random transition probability for nonehomgenous Markov chains by using a new method of differentiation on net.
利用网微分方法将随机选择的概念，推广到有限马氏链随机转移概率随机调和平均的情形。
It introduces random walk concept into vector ordering and finds the output which maximizes transition probability from central pixel to its neighbors.
在噪声去除阶段将随机游走的概念引入到向量排序中，通过最大化中心象素与周围象素的转移概率计算滤波器的输出。
It introduces random walk concept into vector ordering and finds the output which maximizes transition probability from central pixel to its neighbors.
在噪声去除阶段将随机游走的概念引入到向量排序中，通过最大化中心象素与周围象素的转移概率计算滤波器的输出。
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