Application of a fuzzy object search technique to geophysical data processing

Li Chen; Frank Tom Berkey; Steven A. Johnson

doi:10.1117/12.172567

1 May 1994 Application of a fuzzy object search technique to geophysical data processing

Li Chen, Frank Tom Berkey, Steven A. Johnson

Proceedings Volume 2180, Nonlinear Image Processing V; (1994) https://doi.org/10.1117/12.172567
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

This paper describes the application of a fuzzy search technique to geophysical data processing. Here, we discuss three kinds of image object search problems: velocity layer search in computerized tomography in cross wells, surface search and reconstruction in 3D seismic images, and critical frequency curve search in digital ionograms. These three kinds of images have a common property: there are no crisp boundaries in these objects. For the first tow applications, we want to search the small 2D regions called layers in a given image and apply a fuzzy segmentation technique called (lambda) -connected segmentation. For the third application, we want to examine all of the reasonable curves in an ionogram; therefore, we have developed a dynamic (lambda) -connected search technique which is combined with the use of genetic algorithms. We can conclude that a fuzzy system approach has important advantages for geophysical data processing.

Citation Download Citation

Li Chen, Frank Tom Berkey, and Steven A. Johnson "Application of a fuzzy object search technique to geophysical data processing", Proc. SPIE 2180, Nonlinear Image Processing V, (1 May 1994); https://doi.org/10.1117/12.172567

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