自适应聚类Hough变换及地震断层检测

针对现有基于Hough变换的地震断层检测方法只能检测单个断层,不能准确检测多个断层的不足,提出了一种基于自适应聚类Hough变换的地震断层检测方法。该方法首先对预处理后的地震相干图像进行边缘检测并对边缘图像进行Hough变换以检测出边缘图像中的线段,然后根据倾斜角和位置信息对线段进行自适应聚类以获得更完整的线段,最后根据初始地震图像对完整线段中的各点进行调整以获得准确、平滑的断层。为验证该方法的有效性,在实际地震图像上进行了对比实验。实验结果表明,该方法可正确检测地震图像中的多个断层,正确率达到90%以上,与现有方法相比,峰值信噪比提高了约10%。

Adaptive clustering Hough transform and fault detection

In consideration of the problem that the traditional Hough transform based methods for seismic fault detection can only detect single fault while multiple faults can not be detected accurately, a new fault detection method based on adaptive clustering Hough transform was proposed.The method is described below: Firstly, edge detection is performed on the pre-processed seismic coherent image and the Hough transform of the edge image is performed to detect line segments.Then, the line segments are clustered adaptively according to their inclination angle and position to obtain a more complete line segment.Finally, each point on the complete line segment is optimized according to the original seismic image to make the fault more accurate and smoother.To berify the effectiveness of the proposed method, the experiments were done on real seismic images.The experimental results indicated that multiple faults in seismic images were detected correctly by the proposed method.The correct rate was above 90%, and the peak signal noise ratio was improved by 10% compared with current algorithms.