FABRIC ANALYSIS USING THE INTERCEPT METHOD

Citation
P. Launeau et Pyf. Robin, FABRIC ANALYSIS USING THE INTERCEPT METHOD, Tectonophysics, 267(1-4), 1996, pp. 91-119
Citations number
27
Categorie Soggetti
Geochemitry & Geophysics
Journal title
ISSN journal
00401951
Volume
267
Issue
1-4
Year of publication
1996
Pages
91 - 119
Database
ISI
SICI code
0040-1951(1996)267:1-4<91:FAUTIM>2.0.ZU;2-N
Abstract
The intercept method is a convenient, yet powerful method for the nume rical analysis of fabrics. For geological applications it can be used when a set of objects (e.g. pores, grains or aggregates of a specific mineral, lineaments, etc.) with unique characteristics can be identifi ed in an image. The intercept method analyses boundaries of objects as a population of lines. How intercepts are definined is therefore impo rtant in order to establish the significance of the intercept counts. When the method is applied to digital images, the subdivision of the i nformation into square pixels must also be considered. We apply a line ar filter which minimizes the effects of grid anisotropy on the counti ng of intercepts. Analysis of the resulting rose of intercept counts b y a Fourier series considerably facilitates the interpretation of the data. A rose of directions can readily be derived for the phase bounda ries. If a population of objects can be assumed to have started with a n originally isotropic orientation and to have been deformed passively , the Fourier components of the rose of intercepts also give the secti onal strain. The Fourier components also permit an objective test of t he validity of describing a fabric as resulting from a homogeneous str ain on an initially isotropic section. Two computer programs for the c ounting and analysis of intercepts on digital images are presented and applied in four examples which illustrate the usefulness of the inter cept method for magmatic fabric measurement, strain analysis and linea ment analysis. We also illustrate the importance of Fourier series dec omposition of rose of intercept counts for fabric interpretations. Int ercept results are also shown to be compatible with those derived by o ther methods (eigenvector, SURFOR, inertia tensor, autocorrelation met hods).