[an error occurred while processing this directive] Global Geology 2018, 21(2) 134-142 DOI:   10.3969/j.issn.1673-9736.2018.02.07  ISSN: 1673-9736 CN: 22-1371/P

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edge detection
image processing
Canny operator
LoG operator
Sobel operator
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TAN Xiaodi
ZHANG Dailei
MA Guoqing
PubMed
Article by Tan X
Article by Zhang D
Article by Ma G
Edge detection of potential field data based on image processing methods
TAN Xiaodi, ZHANG Dailei, MA Guoqing
College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China
ժҪ�� The conventional methods of edge detection can roughly delineate edge position of geological bodies,but there are still some problems such as low detection accuracy and being susceptible to noise interference.In this paper,three image processing methods,Canny,LoG and Sobel operators are briefly introduced,and applied to edge detection to determine the edge of geological bodies.Furthermore,model data is built to analyze the edge detection ability of this image processing methods,and compare with conventional methods.Combined with gravity anomaly of Sichuan basin and magnetic anomaly of Zhurihe area,the detection effect of image processing methods is further verified in real data.The results show that image processing methods can be applied to effectively identify the edge of geological bodies.Moreover,when both positive and negative anomalies exist and noise is abundant,fake edge can be avoided and edge division is clearer,and satisfactory results of edge detection are obtained.
�ؼ����� edge detection   image processing   Canny operator   LoG operator   Sobel operator  
Edge detection of potential field data based on image processing methods
TAN Xiaodi, ZHANG Dailei, MA Guoqing
College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China
Abstract: The conventional methods of edge detection can roughly delineate edge position of geological bodies,but there are still some problems such as low detection accuracy and being susceptible to noise interference.In this paper,three image processing methods,Canny,LoG and Sobel operators are briefly introduced,and applied to edge detection to determine the edge of geological bodies.Furthermore,model data is built to analyze the edge detection ability of this image processing methods,and compare with conventional methods.Combined with gravity anomaly of Sichuan basin and magnetic anomaly of Zhurihe area,the detection effect of image processing methods is further verified in real data.The results show that image processing methods can be applied to effectively identify the edge of geological bodies.Moreover,when both positive and negative anomalies exist and noise is abundant,fake edge can be avoided and edge division is clearer,and satisfactory results of edge detection are obtained.
Keywords: edge detection   image processing   Canny operator   LoG operator   Sobel operator  
�ո����� 2017-11-05 �޻����� 2017-12-11 ����淢������  
DOI: 10.3969/j.issn.1673-9736.2018.02.07
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Supported by projects of the National Key Research and Development Plan (Nos.2017YFC0602203,2017YFC0601606),the National Science and Technology Major Project Task (No.2016ZX05027-002-003),the National Natural Science Foundation of China (Nos.41604089,41404089),the State Key Program of National Natural Science of China (No.41430322).

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Canny J F. 1986. A computational approach to edge detection.IEEE Trans Pattern Analysis and Machine Intelligence,8(6):679-698.
Eshaghzadeh A, Salehyan N. 2016. Canny edge detection algorithm application for analysis of the potential field map//Iran Conference:34th National and the 2nd International Geosciences Congress.
Liu G J. 2016. Interface simulation and application research based on geological map:master's degree thesis. Chengdu:Chengdu University of Technology. (in Chinese)
Liu Y B, Zeng Z F, Chen X,et al. 2013. Method of analytic signal and horizontal derivative in magnetic prospecting lean iron deposit:a case study in Liangcheng area, Inner Mongolia.Global Geology,32(4):839-846. (in Chinese with English abstract)
Marr D, Hildreth E. 1980. Theory of edge detection.Proceedings of the Royal Society of London. Series B, Biological Sciences,207:187-217.
Ma G Q, Huang D N, Yu P,et al. 2012. Application of improved balancing filters to edge identification of potential field data.Chinese Journal of Geophysics,55(12):4288-4295. (in Chinese with English abstract)
Miller H G, Singh V. 1994. Potential field Tilt-A new concept for location of potential field sources.Journal of Applied Geophysics,32(2/3):213-217.
Nabighian M N. 1972. The analytic signal of two-dimensional magnetic bodies with polygonal cross-section:its properties and use for automated anomaly interpretation.Geophysics,37(3):507-517.
Sobel I, Feldman G. 1968. A 3x3 isotropic gradient operator for image processing.Die Pharmazie,7(8).
Wijins C, Perez C, Kowalczyk P. 2005. Theta map:edge detection in magnetic data.Geophysics,70(4):L39-L43.
Xiao F, Wu Y G, Meng L S. 2011. Edge enhancement and detection technology in gravity anomaly map.Journal of Jilin University:Earth Science Edition,41(4):1197-1203. (in Chinese with English abstract)
Yu Q S, Zhang F X, Zeng Z F. 2015. Research on geophysical field in northern part of Da Hinggan mountains.Global Geology,34(1):187-193. (in Chinese with English abstract)
Yang S H. 2015. Study on the separation of gravity and magnetic potential field and boundary recognition method:doctor's degree thesis. Chengdu:Chengdu University of Technology. (in Chinese with English abstract)
Yuan Y, Huang D N, Yu Q L. 2015. Using enhanced directional total horizontal derivatives to detect the edges of potential-field full tensor data.Chinese Journal of Geophysics,58(7):2556-2565. (in Chinese with English abstract)
Zhao T Y, Zhou K F, Zhang X F,et al. 2008. Application of edge detection technology based on Canny algorithms in geological mapping:an example from Baogutu area, the central Asia.Xinjiang Geology, (1):95-99. (in Chinese with English abstract)
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1��DAI Weiming, LI Tonglin, HUANG Danian, YUAN Yuan, LIU Kai, QIAO Zhongkun.Edge detection of gravity anomaly with an improved 3D structure tensor[J]. Global Geology, 2018,21(2): 108-113

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