一种基于距离变换和分水岭算法的地震空区自动识别方法

An Automatic Identification Method for Seismic Gaps Based on Distance Transform and Watershed Algorithm

地震空区的识别、分析是目前中期地震预报的重要手段之一,而传统的人工绘制预报方法难以取得理想的效果,计算机视觉方法提供了解决问题的新途径.鉴于此,提出一种基于图像处理的地震空区自动识别方法,输入历史地震的文本信息,通过距离变换、阈值分割、分水岭算法等计算机视觉方法进行处理,通过迭代比较和特征参数筛选有效地震空区,输出地震空区的分布图像以及相应的特征参数.通过具体案例进行实验,研究表明:此方法可以获得内部连通、边缘清晰的地震空区图像;与专家标定相比较,此方法的召回率为81.25%,准确率为92.86%.本文方法为地震研究工作者进行地震预测业务及相关研究提供了有力的工具.

The identification and analysis of seismic gaps is one of the important means of medium-term earthquake prediction.However,it is difficult to achieve the desired effect by the traditional artificial method.Computer vision provides a new way to solve the problem.In this paper,an automatic identification method for seismic gaps based on image processing methods is proposed.The input is the text information of the historical earthquake.It is processed by computer vision methods such as distance transformation,threshold segmentation and watershed algorithm.The effective seismic gap is screened by iterative comparison and feature parameters.The output is the distribution image of the seismic gaps and its corresponding characteristic parameters.In addition,the algorithm of this paper is tested through a certain case.The test suggests that the algorithm of this paper can clearly obtain the seismic gaps with internal connectivity and clear external contour.Compared with the expert calibration,the recall rate of this algorithm is 81.25%,and the accuracy is 92.86%.This method provides a powerful tool for seismic researchers to conduct earthquake prediction business and related research.