Edge-Preserving Smoothing for Segmentation of Seismic Images Available to Purchase

Automated image segmentation can be an important tool for interpreting seismic images, but segmenting raw images can lead to inaccurate results. In many disciplines, pre-processing images by smoothing is a common solution; however, traditional smoothing blurs boundaries and can be counterproductive, especially for seismic images. Here, an edge-preserving smoothing technique based on directional maximum homogeneity is introduced for 3D seismic images, and tested on both synthetic and field data. In addition, a "hybrid" smoothing technique blending traditional and edge-preserving smoothing combines the advantages of each and produces encouraging results.