摘要
在管道缺陷检测中,如何对漏磁检测数据进行大容量高保真数据压缩是其中的一个关键问题。文章分析漏磁缺陷信号的特点,首先采用零树小波编码算法,找出能够表征缺陷信号的重要数据和不能表征缺陷信号的非重要数据,非重要数据建立小波零树,对信号进行压缩,然后结合算术编码,对压缩数据流进一步压缩处理,通过仿真实验表明在一定允许失真度的情况下,可以达到很高的压缩率。
In the design of pipeline defect inspection devices, how to compress large amounts of magnetic flux leakage（MFL） detection data with high fidelity is a key problem. In the paper, the characteristics of MFL signals from magnetic sensors are analyzed. The embedded zerotree wavelet coding algorithm for data compression is used to identify the important signal data that can characterize defects and unimportant data that can not characterize defects. Then the unimportant data is used to establish the wavelet zerotree and compress the signal. The arithmetic coding algorithm is adopted to further compress the data stream. The simulation experiment results show that the algorithm can achieve a high compression rate under the conditions of allowing certain distortion.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2009年第3期320-323,共4页
Journal of Hefei University of Technology：Natural Science
基金
国家科技部科研院社会公益研究资金项目(Z00-G03)
安徽省"十五"科技攻关资助项目(040510E2)
关键词
数据压缩
漏磁检测
EZW编码
算术编码
data compression
magnetic flux leakage
embedded zerotree wavelet（EZW） coding
arithmetic coding
