手部软组织红外热像图处理与K-L变换分析  

Processing of Hand Soft Tissue Infrared Image and Analysis Based on K-L Transformation

作　　者：乔世权[1] 陈书旺[1] 张晓文[1] QIAO Shi-quan;CHEN Shu-wang;ZHANG Xiao-wen(School of Information Science and Engineering,Hebei University of Science and Technology,Shijiazhuang 050018,China)

机构地区：[1]河北科技大学信息科学与工程学院

出　　处：《数学的实践与认识》2018年第13期108-113,共6页Mathematics in Practice and Theory

基　　金：河北省教育厅青年基金项目(QN2014174)

摘　　要：首先对手部软组织的红外热像图进行图像处理，包括灰度化、降噪、增强、分割，其中图像分割采用Otsu算法选择适当的阈值，从而将目标图像与背景分割．然后将处理后图像的像素值代入K—L变换，得到样本的特征空间，将所有样本都投影到该特征空间得到投影系数．最后利用欧式距离公式，最终判断手部软组织的病变情况．The infrared images of human soft tissue are processed, including imaging gray processing, noise reduction, enhancement, segmentation and so on. Image segmentation uses the Otsu algorithm to select the appropriate threshold to segment the target image from the background. The gray value of images is put into K-L transform formula to get the feature space of the sample, projecting all the samples into the feature space to get the projection coefficients. The Euclidean distance formula is used to locate the damaged position of hand soft tissue.

关 键 词：红外热像图 手部软组织 图像处理 OTSU算法 K—L变换 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]