头影图像标志点自动识别系统

头影图像的标志点是正颌外科中用来诊断和治疗牙颌面畸形患者的重要依据，本文运用图像处理及人工智能技术，介绍了一种自动提取头影图像中软硬组织标志点的方法．该方法首先运用滤波和边缘检测技术，提取出头影图像中软硬组织的特征边缘，然后使用有关人脸面部结构的解剖知识，识别出标志点．该方法解决了长期以来标志点的定位完全依靠人工的方法，本文介绍了系统的组成和实现，并给出了用该方法定点和人工定点的比较．

AUTOMATI RECOGNITIVE SYSTEM OF CEPHALOGRAM LANDMARKS

Landmarks of Cephalogram is the important basis to diagnose and treat patients with facial skeletal and dental abnormalities. This paper presents an approach for automatically locating landmarks on cephalograms by applying image processing and artificial intelligence techniques. This approach first uses filtering and edge detecting techniques to extract edges of soft and hard issues in cephalograms. Then it recognizes the landmarks on the basis of the anatomical knowledge of the human facial structure. This approach not only realizes the automatically landmarking but also makes the diagnosis quantitative. The accuracy of the approach in locating the landmarks is compared with values obtained from human experts.