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基于Markov场的二值图象复原算法
引用本文:陈嵘,刘小军,邹某炎.基于Markov场的二值图象复原算法[J].中国图象图形学报,1999,4(7):557-561.
作者姓名:陈嵘  刘小军  邹某炎
作者单位:中国科学院电子学研究所
摘    要:提出了一种新的二值图象复原算法,算法基于Markov场模型。算法在象素值的更新上采用了寻找极大似然解的方法,同时引入了概率接受机制,通过计算接受函数来判定是否接受新值。算法具有很高的计算效率,在复原中取得了良好的效果。

关 键 词:软判据接受算法  图象复原  二值图象  Markov场

Binary Image Restoration Based on MRF
Chen Rong,Liu Xiaojun and Zou Mouyan.Binary Image Restoration Based on MRF[J].Journal of Image and Graphics,1999,4(7):557-561.
Authors:Chen Rong  Liu Xiaojun and Zou Mouyan
Abstract:In this paper, a new binary image restoration algorithm is proposed, which is based on Markov Random Fields. This algorithm finds the ML solution in the procedure of pixel value updating. The mechanism of probability receptence is introduced to judge the transition of pixel value by computing the receptence function. Its computation efficiency is very high. Good results are gained in the experiments.
Keywords:Soft  criterion acceptance algorithm  Image restoration  Binary image  MRF
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