Image thresholding in the high resolution target movement monitor

Randy H. Moss; Steve E. Watkins; Tristan H. Jones; Derek B. Apel; Deepti Bairineni

doi:10.1117/12.815521

30 March 2009 Image thresholding in the high resolution target movement monitor

Randy H. Moss, Steve E. Watkins, Tristan H. Jones, Derek B. Apel, Deepti Bairineni

Proceedings Volume 7292, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009; 72920G (2009) https://doi.org/10.1117/12.815521
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2009, San Diego, California, United States

Abstract

Image thresholding in the High Resolution Target Movement Monitor (HRTMM) is examined. The HRTMM was developed at the Missouri University of Science and Technology to detect and measure wall movements in underground mines to help reduce fatality and injury rates. The system detects the movement of a target with sub-millimeter accuracy based on the images of one or more laser dots projected on the target and viewed by a high-resolution camera. The relative position of the centroid of the laser dot (determined by software using thresholding concepts) in the images is the key factor in detecting the target movement. Prior versions of the HRTMM set the image threshold based on a manual, visual examination of the images. This work systematically examines the effect of varying threshold on the calculated centroid position and describes an algorithm for determining a threshold setting. First, the thresholding effects on the centroid position are determined for a stationary target. Plots of the centroid positions as a function of varying thresholds are obtained to identify clusters of thresholds for which the centroid position does not change for stationary targets. Second, the target is moved away from the camera in sub-millimeter increments and several images are obtained at each position and analyzed as a function of centroid position, target movement and varying threshold values. With this approach, the HRTMM can accommodate images in batch mode without the need for manual intervention. The capability for the HRTMM to provide automated, continuous monitoring of wall movement is enhanced.

Citation Download Citation

Randy H. Moss, Steve E. Watkins, Tristan H. Jones, Derek B. Apel, and Deepti Bairineni "Image thresholding in the high resolution target movement monitor", Proc. SPIE 7292, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009, 72920G (30 March 2009); https://doi.org/10.1117/12.815521

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KEYWORDS

Cameras

Image processing

Mining

Target detection

Image analysis

Image resolution

Laser damage threshold

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