中文摘要：

这个工作针对在 thermosonic 成像为缺点识别开发一个有效方法。thermosonic 成像的热机制被介绍，并且为缺点识别的问题被讨论。为这个目的，缺点在一个金属管道标本和缺点的内部墙中存在在碳纤维嵌入增强的塑料(CFRP ) 把压成薄片被测试。试验性的数据被脉搏阶段 thermography (PPT ) 处理在不同频率显示出阶段图象的方法，和阶段角度对频率的特征热异例和健全区域弯被分析。一幅二进制图象，基于缺点的典型的值，被一个新识别算法获得显示出缺点。结果证明为 thermosonic 成像的好缺点识别性能，和这种技术的可靠性能被方法改进。

英文摘要：

This work is aimed at developing an effective method for defect recognition in thermosonic imaging.The heat mechanism of thermosonic imaging is introduced,and the problem for defect recognition is discussed.For this purpose,defect existing in the inner wall of a metal pipeline specimen and defects embedded in a carbon fiber reinforced plastic（CFRP） laminate are tested.The experimental data are processed by pulse phase thermography（PPT） method to show the phase images at different frequencies,and the characteristic of phase angle vs frequency curve of thermal anomalies and sound area is analyzed.A binary image,which is based on the characteristic value of defects,is obtained by a new recognition algorithm to show the defects.Results demonstrate good defect recognition performance for thermosonic imaging,and the reliability of this technique can be improved by the method.