Research On Edge Detection Of Image Processing Based On Seismic Data

With the improvement of exploration and development,the geological targets become more and more complex and concealed.Conventional seismic interpretation technology is difficult to meet the needs of current exploration and development.The purpose of this paper is to fully exploit the effective geological information in seismic data,and connect the seismic interpretation work with computer technology through digital image processing technology to carry out the fine interpretation of seismic data.In this paper,the seismic data volume is denoised by combining three commonly used denoising methods.At the same time,the intermediate weighted mode is used to sharpen the seismic data and realize image enhancement.Finally,the image processing of coherent slices and seismic sections is performed by eliminating key steps such as outliers,so as to suppress noise and interference and highlight the edge information.Based on this process,an improved edge detection technique based on Canny algorithm is formed.Using MATLAB software to program and compare experiments with Roberts,Sobel,Prewitt,Laplace,Canny,etc.Finally,the Canny algorithm is used for edge detection.And calculate the gradient value by using the5x5 modified gradient operator.Selecting the selective smoothing method with the reserved edge function instead of Gaussian blur,adding mathematical morphology to optimize the edge.Realize the improvement and optimization of Canny algorithm,making it more suitable for edge detection of seismic data.Compared with the previous coherent properties,the technology predicts that the fracture is clearer and more crisp,the fracture combination is more clear and reasonable,and the low-order fault identification is more clear.Through the research and application of this paper,the fine identification and description of fractures and special geological bodies are realized,and the precision and efficiency of the fine interpretation of seismic data are further improved.