基于Gabor滤波器族的地震图像增强算法  

Seismic image enhancement algorithm based on Gabor filter bank

作　　者：刘天时[1] 杨雪[1] 李湘眷[1] 

机构地区：[1]西安石油大学计算机学院,陕西西安710065

出　　处：《计算机工程与设计》2015年第11期3041-3045,共5页Computer Engineering and Design

基　　金：国家自然科学基金项目(41301480);陕西省自然科学基金项目(2010JM8032);陕西省教育厅专项科研计划基金项目(14JK1573)

摘　　要：为在增强地震剖面图像时获取纹线的构造及层序信息,提出一种基于地震剖面图像纹线方向的地震图像增强算法。根据地震剖面纹线的方向性,设计一个Gabor滤波器族,用其对低频分量图进行滤波去噪。利用小波变换与Gabor滤波器族各自的优点,实现地震剖面图像纹线的增强,提高整体运算效率。仿真结果表明,该算法对地震剖面图像处理后,均方误差与峰值信噪比均有明显的改善。To obtain the structure and sequence information of stripe lines accurately while enhancing the seismic profile image,a seismic image enhancement algorithm was proposed based on the directions of stripe lines on seismic profile image.Based on the directionality of stripe lines on seismic profile image,a Gabor filter bank was designed,by which low frequency component figure was filtered and denoised.With the advantages of wavelet transform and Gabor filter bank,the enhancement of stripe lines on seismic profile was realized,which improved overall operational efficiency.The simulation results show that the mean square error and peak signal to noise ratio are improved obviously after the seismic profile image being processed using this algorithm.

关 键 词：地震图像 图像增强 小波变换 GABOR滤波 峰值信噪比 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]