Object centroid as the features was computed by means of regional statistics, parameter recognition, noise region removal and cluster analysis.
然后采用区域统计、参数识别、噪声区域去除以及聚类分析等手段进行目标特征识别，提取出棒材的质心点坐标作为特征；
Parameter study of Bayesian network is investigated. According to the methods of example statistics and correlation analysis, Bayesian diagnosis model of body deviation is established.
对贝叶斯网络的参数学习进行了探讨，结合实例统计和相关性分析建立了车身偏差诊断的贝叶斯网络模型。
Parameter study of Bayesian network is investigated. According to the methods of example statistics and correlation analysis, Bayesian diagnosis model of body deviation is established.
对贝叶斯网络的参数学习进行了探讨，结合实例统计和相关性分析建立了车身偏差诊断的贝叶斯网络模型。
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