A New Edge Detection Method for Seismic Fault Image |
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| Journal | Advanced Materials Research (Volumes 250 - 253) |
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| Volume | Advanced Building Materials |
| Edited by | Guangfan Li, Yong Huang and Chaohe Chen |
| Pages | 3953-3957 |
| DOI | 10.4028/www.scientific.net/AMR.250-253.3953 |
| Citation | Yan Xing Song et al., 2011, Advanced Materials Research, 250-253, 3953 |
| Online since | May, 2011 |
| Authors | Yan Xing Song, Zhen Jing Yao, Jing Song Yang, Qing Bin Tong |
| Keywords | Edge Detection, Mathematical Morphology, Seismic Fault Image, Wavelet Transform (WT) |
| Abstract | A new edge detection method for seismic fault image was presented. The method decomposed an image by morphology Haar wavelet, then used morphology edge detection operator to detect edge of the low-frequency morphological wavelet level, at last, the low-frequency and high-frequency coefficient are synthesized to realize the edge detection. Extensive experiments have shown that the method proposed in this paper can detect the edge of the seismic fault accurately with simple operations, and it is very competitive compared with other methods. |
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