Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《世界地质(英文版)》 2018-02
Add to Favorite Get Latest Update

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;  
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,Lo G 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.
【Fund】: 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)
【CateGory Index】: TP391.41
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved