DocumentCode :
2533880
Title :
A multiple-scale measure of static tactile texture
Author :
Ellis, R.E.
Author_Institution :
University of Massachusetts, Amherst, MA
Volume :
3
fYear :
1986
fDate :
31503
Firstpage :
1280
Lastpage :
1285
Abstract :
A method is proposed for the extraction of features that are useful in the classification of tactile texture. It is shown that accumulation of simple statistics on step edges and local extrema, calculated at multiple scales of resolution, can provide linearly separable features. The scale can be varied continuously, thus facilitating adjustment of the scale parameters to optimise the effectiveness of the method for a given tactile array sensor.
Keywords :
Data mining; Electronic learning; Feature extraction; Object recognition; Psychology; Robot sensing systems; Sensor arrays; Sensor phenomena and characterization; Statistics; Tactile sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation. Proceedings. 1986 IEEE International Conference on
Type :
conf
DOI :
10.1109/ROBOT.1986.1087536
Filename :
1087536
Link To Document :
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