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Proceedings Paper

Application of a fuzzy object search technique to geophysical data processing
Author(s): Li Chen; Frank Tom Berkey; Steven A. Johnson
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Paper 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.

Paper Details

Date Published: 1 May 1994
PDF: 10 pages
Proc. SPIE 2180, Nonlinear Image Processing V, (1 May 1994); doi: 10.1117/12.172567
Show Author Affiliations
Li Chen, Utah State Univ. (United States)
Frank Tom Berkey, Utah State Univ. (United States)
Steven A. Johnson, Univ. of Utah (United States)


Published in SPIE Proceedings Vol. 2180:
Nonlinear Image Processing V
Edward R. Dougherty; Jaakko Astola; Harold G. Longbotham, Editor(s)

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