三维地震体数据方向场估计算法
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摘要
数据的方向场估计算法在许多领域有着关键的应用。这里针对三维地震体数据提出了基于梯度场的局部方向估计算法。这种算法充分利用了三维体数据中类似指纹图像的"脊谷线"的结构,在一个局部窗口中根据各点的梯度场确定其方向场并估计出代表该点方向强度的方向一致性,这种方向一致性是三维地震数据处理中的一种重要属性,可以利用它进一步作图像的分割处理。这种基于统计的方法可以提供精度较高的方向信息并对噪声有良好的抑制效果。
The estimation of data field plays a key role in many researches.Aiming at 3D seismic data applications,an orientation field estimation method based on gradient vector field is proposed.This algorithm makes full use of the peak-valley structure in fingerprint image;and the orientation field derived from gradient vectors in a local window and the coherence of the orientation are calculated too.The coherence value is an important attribute in seismic data processing.It can be used to segment the seismic image.The method based on statistics can provide high precision orientation information and is also robust to noise.
The estimation of data field plays a key role in many researches.Aiming at 3D seismic data applications,an orientation field estimation method based on gradient vector field is proposed.This algorithm makes full use of the peak-valley structure in fingerprint image;and the orientation field derived from gradient vectors in a local window and the coherence of the orientation are calculated too.The coherence value is an important attribute in seismic data processing.It can be used to segment the seismic image.The method based on statistics can provide high precision orientation information and is also robust to noise.
引文
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[12]FENG X G,MILANFAR P.Multiscale principal compo-nents analysis for image local orientation estimation[C].Proceedings of the 36th Asilomar Conference on Signals,Systems and Computers.LA,USA,2003:558-561.
[13]吴春国,梁艳春,孙延风.关于SVD与PCA等价性的研究[J].计算机学报.2004,32(5):1037-1045.WU CH G,LIANG Y CH,SUN Y F.On the equiva-lence of SVD and PCA[J].Chinese Journal of Comput-ers,2004,32(5):1037-1045.
[14]RANDEN T,SONNELAND L.Atlas of 3D seismic at-tributes[M].ISKE A,RANDEN T E.MathematicalMethods and Modeling in Hydrocarbon Exploration andProduction.New York:Springer,2005:23-46.
[15]FARAKLIOTI M,PETROU M.The use of structure ten-sors in the analysis of seismic data[M].ISKE ARANDEN T.Mathematical Methods and Modeling in Hy-drocarbon Exploration and Production.New York:Springer,2005:47-89.
[2]TICO M,KUOSMANEN P.Fingerprint matching using anorientation2based minutia descriptor[J].IEEE Trans onPattern Analysis and Machine Intelligence,2003,25(8):1009-1014.
[3]HONG L,WAN Y.A Jain Fingerprint image enhance-ment:Algorithm and performance evaluation[J].IEEETransactions on Pattern Analysis and Machine Intelli-gence,1998.
[4]JAIN A K,HONG L.On-line fingerprint verification[J].IEEE Trans on Pattern Analysis and Machine Intel-ligence,1997,19(4):302-314.
[5]JAINA,PRABHAKAR S,HONG L.Amultichannel ap-proach to fingerprint classification[J].IEEE Trans onPattern Analysis and Machine Intelligence,1999,21(4):348-359.
[6]O′GORMAN L,NICKERSON J V.An approach to fin-gerprint filter design[J].Pattern Recognition,1989,22(1):29-38.
[7]WANG Y I,HU J K,SCHRODER H.A gradient basedweighted averaging method for estimation of fingerprintorientation fields[J].Digital Imaging Computing:Tech-niques and Applications,Queensland,2005,29(4):388-399.
[8]祝恩,殷建平,张国敏.基于多参考节点的指纹匹配方法[J].计算机研究与发展,2005,42(10):1733-1739.ZHU EN,YIN J P,ZHANG G M.Multiple referenceminutiae based fingerprint matching[J].Journal of Com-puter Research and Development,2005,42(10):1733-1739.
[9]KASS M,WITKIN A.Analyzing oriented patterns[J].Computer Vision,Graphics,and Image Processing,1987,37(3):362-385.
[10]梅园,孙怀江,夏德深.一种基于梯度的健壮的指纹方向场估计算法[J].计算机研究与发展,2007,44(6):1022-1031.MEI Y,SUN H J,XIA D SH.A gradient based robustmethod for estimation of fingerprint orientation field[J].Journal of Computer Research and Development,2007,44(6):1022-1031.
[11]ASKER M,BAZEN,SABIH H.Gerez.Systematicmethods for the computation of the directional fields andsingular points of fingerprints[J].IEEE Trans on Pat-tern Analysis and Machine Intelligence,2002,24(7):1822-1831.
[12]FENG X G,MILANFAR P.Multiscale principal compo-nents analysis for image local orientation estimation[C].Proceedings of the 36th Asilomar Conference on Signals,Systems and Computers.LA,USA,2003:558-561.
[13]吴春国,梁艳春,孙延风.关于SVD与PCA等价性的研究[J].计算机学报.2004,32(5):1037-1045.WU CH G,LIANG Y CH,SUN Y F.On the equiva-lence of SVD and PCA[J].Chinese Journal of Comput-ers,2004,32(5):1037-1045.
[14]RANDEN T,SONNELAND L.Atlas of 3D seismic at-tributes[M].ISKE A,RANDEN T E.MathematicalMethods and Modeling in Hydrocarbon Exploration andProduction.New York:Springer,2005:23-46.
[15]FARAKLIOTI M,PETROU M.The use of structure ten-sors in the analysis of seismic data[M].ISKE ARANDEN T.Mathematical Methods and Modeling in Hy-drocarbon Exploration and Production.New York:Springer,2005:47-89.
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