了以往圆和椭圆形目标图象的识别方法，针对基偿足，以原木横截面图象为实例，提出不规则类圆形目标模式识别新策略。该策略结合了聚类分析和模糊识别两种方法，采取由粗到细，逐层分类，每层单独设计分类器，成功地解决了不确定量的分类问题，实现了对不规则类圆形目标的识别。

With recognition methods of circular and elliptic objects taken into consideration, this paper presents a new algorithm for recognition irregular quasi circular object, takes log cross section images as examples. The new algorithm combines two methods of cluster analysis and fuzzy recognition, recognizes step by step from coarse to fine, sets up classifier at every level. It solves the problem of uncertain objects classification successfully, implements recognition of irregular quasi circular object accurately.