Title :
Classifying Surface Roughness With CTFM Ultrasonic Sensing
Author :
McKerrow, Phillip J. ; Kristiansen, Bjorn E.
Author_Institution :
Sch. of Inf. Technol. & Comput. Sci., Wollongong Univ., NSW
Abstract :
Roughness is a characteristic of a surface that is a function of its geometry. Ultrasonic sensing in air provides range, area, and angle information because the surface geometry determines the characteristics of the echo. The authors introduce the "spatial-angle-filter model" to explain the impact of surface roughness on the echo. On the basis of this model, they design a set of features for use in classifying surfaces. The quality of the features and the classification is measured with the Mahalanobis distance. The resultant system is able to achieve 99.73% classification of a set of 12 surfaces using five features
Keywords :
nonelectric sensing devices; surface roughness; surface topography measurement; ultrasonic applications; ultrasonic devices; continuous transmission frequency modulated ultrasonic sensor; spatial-angle-filter model; surface geometry; surface roughness; Filters; Frequency modulation; Humans; Information geometry; Mobile robots; Rough surfaces; Sensor phenomena and characterization; Surface impedance; Surface roughness; Ultrasonic variables measurement; Continuous transmission frequency modulated (CTFM) ultrasonic sensor; Mahalanobis classifier; spatial-angle filter; surface roughness; ultrasonic sensing; wheeled mobile robot;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2006.881419