摘要：Image edge-detection algorithm plays an important role in seismic data interpretation.When using Sobel and other traditional edge-detection algorithms to detect the edge of seismic profile,it is easy to have false detection and missing detection of the edge,and the detected edge is thick.In order to improve the edge detection quality of seismic profile,an adaptive image edge-detection algorithm is proposed in this research.In this research,the seismic profile is divided into several sub-regions,and then the threshold of each sub-region is obtained by Otsu algorithm.After that,when detecting the edge of seismic profile,it can realize the threshold adaptation.The results of experiments show that compared with the traditional Sobel edge-detection algorithm,the optimized adaptive edge-detection algorithm can better identify the edge information of seismic profile and has better anti-noise ability.Hence,algorithm proposed in this research is a high-quality adaptive edge-detection algorithm,which is suitable for edge detection of seismic profiles.
关键词：Seismic data interpretation;Seismic exploration environment;Canny;Geological structure;Adaptive threshold.
