小尺度边缘特征地震检测技术研究
|
摘要
通过对比传统边缘检测算法、小波变换多尺度边缘检测算法和最优滤波二阶差分算法,本文认为:传统边缘检测算法没有考虑多尺度问题,但由于算法以样点为单位,所以在检测小级别边缘特征方面仍有优势,且可较容易获得边缘方向的描述;应用小波变换可以实现多尺度边缘检测;通过最优滤波二阶差分算法也可以实现多尺度边缘检测。以上各种方法可作为相干体技术的重要补充。
By comparing traditional edge detection algorithm,the wavelet transform multi-scale edge detection algorithm and the optimal filtering second-order difference algorithm,it is believed in this paper that the traditional edge detection algorithm does not give the consideration for the multi-scale problem,however,because the algorithm takes the sample point as the unit,it still has the advantage in detecting small edge characteristics and can be used to easily obtain the description for edge direction.Furthermore,the multi-scale edge detection can also be implemented by applying either optimal filtering second-order difference algorithm or the wavelet transform.Each algorithm mentioned above can be regarded as the important supplement for the coherent volume technique.
By comparing traditional edge detection algorithm,the wavelet transform multi-scale edge detection algorithm and the optimal filtering second-order difference algorithm,it is believed in this paper that the traditional edge detection algorithm does not give the consideration for the multi-scale problem,however,because the algorithm takes the sample point as the unit,it still has the advantage in detecting small edge characteristics and can be used to easily obtain the description for edge direction.Furthermore,the multi-scale edge detection can also be implemented by applying either optimal filtering second-order difference algorithm or the wavelet transform.Each algorithm mentioned above can be regarded as the important supplement for the coherent volume technique.
引文
[1]孙夕平,杜世通.应用边缘检测技术研究河道和储层小断裂成像.石油物探,2003,42(3):469~472Sun Xi-ping,Du Shi-tong.Using edge detectiontechnique to image channels and minor faults.Geo-physical Prospecting for Petroleum.2003,42(3):469~472
[2]夏克文.测井技术中的小波分析方法.测井技术,1993,17(4):112~115Xia Ke-wen.Wavelet analysis methods in well log-ging techniques.Well Logging Technology,1993,17(4):112~115
[3]朱光明,高静怀,王玉贵.小波变换及其在一维滤波中的作用.石油物探,1993,32(1):1~10Zhu Guang-ming,Gao Jing-huai,Wang Yu-gui.Wave-let transform and application in 1D filter.Geophysi-cal Prospecting for Petroleum,1993,32(1):1~10
[4]刘伟,曹思远.基于小波变换的信号奇异性检测在层位识别中的应用.石油地球物理勘探,2010,45(4):530~533Liu Wei and Cao Si-yuan.Application of wavelettransform-based signal singularity detection in horizonidentification.OGP,2010,45(4):530~533
[5]苟量,彭真明.小波多尺度边缘检测及其在裂缝预测中的应用.石油地球物理勘探,2005,40(3):309~313Gou Liang,Peng Zhen-ming.Multi-scale edge detec-tion of wavelet and application in fracture prediction.OGP,2005,40(3):309~313
[6]黄捍东,胡光岷,贺振华等.利用多尺度边缘检测研究碳酸岩裂缝分布.物探化探计算技术,2000,22(1):21~25Huang Han-dong,Hu Guang-min,He Zhen-hua etal.Carbonate fracture research using multi-scaleboundary detection method.Computing Techniquesfor Geophysical and Geochemical Exploration,2000,22(1):21~25
[7]Mallat S et al.Characteristics of signals from multi-scale edges.IEEE Trans,1992,14(7):710~714
[8]Canny J.A computational approach to edge detec-tion.IEEE Trans,1986,8(6):679~682
[9]黄智.图像处理与识别使用程序库.天津:天津科学技术出版社,1989
[10]Marrand D,Hildreth E C.Theory of edge detection.Proc Roy Soc London Ser,1976,B207:483~524
[11]Mallat S,Hwang.Singularity detection and process-ing with wavelets.IEEE Trans On InformationTheory,1992,14(2):38~44
[12]王润生.图像理解.湖南长沙:国防科技大学出版社,1995
[2]夏克文.测井技术中的小波分析方法.测井技术,1993,17(4):112~115Xia Ke-wen.Wavelet analysis methods in well log-ging techniques.Well Logging Technology,1993,17(4):112~115
[3]朱光明,高静怀,王玉贵.小波变换及其在一维滤波中的作用.石油物探,1993,32(1):1~10Zhu Guang-ming,Gao Jing-huai,Wang Yu-gui.Wave-let transform and application in 1D filter.Geophysi-cal Prospecting for Petroleum,1993,32(1):1~10
[4]刘伟,曹思远.基于小波变换的信号奇异性检测在层位识别中的应用.石油地球物理勘探,2010,45(4):530~533Liu Wei and Cao Si-yuan.Application of wavelettransform-based signal singularity detection in horizonidentification.OGP,2010,45(4):530~533
[5]苟量,彭真明.小波多尺度边缘检测及其在裂缝预测中的应用.石油地球物理勘探,2005,40(3):309~313Gou Liang,Peng Zhen-ming.Multi-scale edge detec-tion of wavelet and application in fracture prediction.OGP,2005,40(3):309~313
[6]黄捍东,胡光岷,贺振华等.利用多尺度边缘检测研究碳酸岩裂缝分布.物探化探计算技术,2000,22(1):21~25Huang Han-dong,Hu Guang-min,He Zhen-hua etal.Carbonate fracture research using multi-scaleboundary detection method.Computing Techniquesfor Geophysical and Geochemical Exploration,2000,22(1):21~25
[7]Mallat S et al.Characteristics of signals from multi-scale edges.IEEE Trans,1992,14(7):710~714
[8]Canny J.A computational approach to edge detec-tion.IEEE Trans,1986,8(6):679~682
[9]黄智.图像处理与识别使用程序库.天津:天津科学技术出版社,1989
[10]Marrand D,Hildreth E C.Theory of edge detection.Proc Roy Soc London Ser,1976,B207:483~524
[11]Mallat S,Hwang.Singularity detection and process-ing with wavelets.IEEE Trans On InformationTheory,1992,14(2):38~44
[12]王润生.图像理解.湖南长沙:国防科技大学出版社,1995
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心