It is very important to eliminate lacunas of inner subface.The design and implementation of automatic inspection and automatic classification of inner subface are described.

设计和实现了一种计算机自动检测和分类的方法，不仅可以排除主观因素的干扰，而且还能对指标进行定量描述。

Focus on design and implementation of K-Means-based anomaly detection algorithm engine and cluster analysis module, as well as the Apriori algorithm based on correlation analyzer.

重点设计和实现了基于K-Means 算法的异常检测引擎和聚类分析模 块，以及基于Apriori 算法的关联分析器。