Application of image analysis techniques to seismic data

Abstract

We show how the techniques of Digital Image Analysis can be efficiently used to help in the interpretation of seismic cross-sections. The problem of automatically finding homogeneous

Efficient registration of stereo images by matching graph descriptions of edge segments

“…The first one is a simplified zero-crossing extraction [25] developed in our laboratory [26] and already described in another application [27]. First, the original image is convolved with two low-pass filters, whose impulse responses realize 7 × 7 and 3 × 3 local averages.…”

Knowledge-based image analysis for geophysical interpretation

“…The simplest approach to horizon picking is to consider it as sequences of local extrema of reflection intensity inthe seismic image. By this way, horizon picking can be made by contour following techniques [22] based on local decisions [23], or by the use of edge detector operators (e.g., the Laplacian operator). More complicated techniques for horizon picking are performed by using neighborhood information based on Markovian image models [22,25] and dynamic programming.…”

Fast block implementation of two-dimensional FIR digital filters by systolic arrays

“…Linear and nonlinear two-dimensional (2D) digital filters are the main tools for processing discrete images; they are used extensively for image enhancement, noise removal, restoration and find applications in geophysics (Keskes et al 1982, Bruton et al 1985, medical imaging (Rosenfeld andKak 1986, Jain 1989), robotics (Ballard and Brown 1982), telecommunications (Quellet and Dubois 1987), remote sensing, moving object recognition (Venetsanopoulos 1986) and tracking, traffic monitoring, automatic industrial control and inspection (Cappellini 1989), etc.…”