基于FFT的图像压缩技术在隧道裂缝检测上的应用  

Application of Image Compression Technology Based on FFT in Tunnel Crack Detection

作　　者：秦宇健 QIN Yu-jian(Soochow University,Suzhou,Jiangsu 215031,China)

机构地区：[1]苏州大学,江苏苏州215031

出　　处：《山西交通科技》2021年第6期74-75,95,共3页Shanxi Science & Technology of Transportation

摘　　要：我国隧道的定期检测数据量大,随着像素增加与图片高质量要求,数据的保存与快速传输成了重要问题。尤其是对于大多数检测结果而言,每次保存数据量大,占用较多存储空间。将傅立叶变换用于隧道检测图像压缩中,既不需要估计协方差矩阵,又能用快速算法实现;实验结果表明,此方法能在不失真的情况下压缩图像,极大地节约了存储空间。There is a large amount of data in regular tunnel detection in China.With the increased pixels and the requirements of high quality images,the data preservation and fast transmission have become an important problem.Especially for most detection results,to save a large amount of data each time needs to occupy much storage space.Applying Fourier transform in the image compression of tunnel detection,it can be realized by fast algorithm without estimating the covariance matrix.The experiment result shows that,this method can compress images without the distortion and greatly save storage space.

关 键 词：傅立叶变换 裂缝检测 图像压缩 

分 类 号：U456[建筑科学—桥梁与隧道工程]