1 January 2007 Optical projection and image processing approach for mine wall monitoring
Author Affiliations +
Optical Engineering, 46(1), 013601 (2007). doi:10.1117/1.2424914
Abstract
Wall movement in an underground mine must be continually monitored to provide real-time assessment of dynamic stress changes around mining excavation and to warn against rock failure. An in situ approach using optical spot projection and image processing can measure submillimeter movements. The system can be easily automated and poses no obstruction to mine traffic. The position of an off-normal laser spot will shift as the target wall moves. The centroid of this projected spot can be measured through image processing of a digital image. Multiple laser spots give the system simultaneous information over a larger sampled area. Software processing can measure subpixel shifts of the spot centroid. The resolution depends on the pixel count, the magnification of the camera lens (and hence the field of view), the optical-beam angle, and the spot characteristics. A laboratory table-top experiment demonstrated the system for distances up to 3 m and for a resolution of 0.1 mm. The results were linear in target movement, with standard errors between 0.83% and 5.38%. An automated system is described for a mine environment.
Blake Gray, Randy H. Moss, Derek Apel, Steve E. Watkins, "Optical projection and image processing approach for mine wall monitoring," Optical Engineering 46(1), 013601 (1 January 2007). http://dx.doi.org/10.1117/1.2424914
JOURNAL ARTICLE
8 PAGES


SHARE
KEYWORDS
Mining

Image processing

Cameras

Projection systems

Detection and tracking algorithms

Digital cameras

Optical engineering

RELATED CONTENT

Heat transfer augmentation using liquid crystal
Proceedings of SPIE (June 27 2002)
Multiple-description framework for oblivious watermarking
Proceedings of SPIE (August 01 2001)
Polarization dOTF: on-sky focal plane wavefront sensing
Proceedings of SPIE (July 22 2016)
Automated geodata analysis and metadata generation
Proceedings of SPIE (March 12 2002)
Study on seasonal IR signature change of a ship by...
Proceedings of SPIE (May 03 2017)
640 x 480 pixel 500 frame per second RAM based...
Proceedings of SPIE (January 19 1993)
Software for CRT image quality evaluation
Proceedings of SPIE (April 18 2000)

Back to Top