Estimation of rock face stability

Radha Krishnan; H. Joe Sommer III

doi:10.1117/12.188722

3 October 1994 Estimation of rock face stability

Radha Krishnan, H. Joe Sommer III

Proceedings Volume 2347, Machine Vision Applications, Architectures, and Systems Integration III; (1994) https://doi.org/10.1117/12.188722
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

Abstract

We present here the development of a texture-like measure to aid the quantification of rock face stability using two familiar transforms in a novel combination. It is shown that the Fourier and Hough transforms together can yield accurate quantitative information relating to the texture of an image. With respect to rock faces, the textural quality of the image is a direct measure of the stability index, since the orientation, distribution, and number of fissures indicate its stability. Stability of rock faces for mining operations is currently estimated manually, prior to further excavation. Manual inspection is often undesirable due to the subjective nature of, and potential hazard to, the human inspector. This provides the motivation to develop an automated system which can survey the scene via some sensors and process the resulting data to compute a preliminary stability index before further detailed inspection and subsequent excavation.

Citation Download Citation

Radha Krishnan and H. Joe Sommer III "Estimation of rock face stability", Proc. SPIE 2347, Machine Vision Applications, Architectures, and Systems Integration III, (3 October 1994); https://doi.org/10.1117/12.188722

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