基于K-L变换的手部软组织损伤红外热像图处理研究

近年来,红外热像技术为人体关节的检测提供了一种新的方法.随着该技术不断成熟和图像处理算法的不断改进,使得红外热像图的分析得到了提高.经过拍摄大量的红外热像图,并且对其预处理后,采用K-L变换降低样本的维数,并且生成特征空间,将待识别的红外热像图投影到这个低维特征空间.然后计算出与待测样本最近的训练样本,最终找到手部软组织受损部位.

Analysis of Hand Soft Tissue Infrared Image Based on K-Ltransformation

Recently,infrared thermal imaging technology provides a new method for the detection of human joints.With the maturing of infrared thermal imaging technology and image processing algorithm,the analysis of infrared thermal image has been improved.In this article,after plenty of infrared thermal images were taken and pretreated.the author calculated the eigenspace of training samples with K-L transformation to reduce the dimension of samples and projected the infrared thermal images to be recognized to this low-dimesional eigenspace.By calculating the nearest training sample compared with the sample to be detected,the author finally located the damaged position of hand soft tissue.