Title :
Application of the wavelet transform for processing speckle patterns in the analyzing of surface roughness
Author :
Volosyuk, V.K. ; Aksyonov, E.A. ; Shmatko, A.A.
Author_Institution :
Nat. Aerosp. Univ. "Kharkiv Aviation Inst.", Kharkiv, Ukraine
Abstract :
Measurement of roughness parameter on the date in the engineering industry is in demand. Surface roughness is one of the basic geometric characteristics of the surface quality of parts and has an impact on performance indicators. Under the conditions of a machine or device, external influences, especially, are subjected to the surface of their parts. The magnitude of the roughness can be judged on the quality of processing details of its reliability and durability. To measure the roughness of parts isspolzuyutsya speckle pattern formed by the sample.
Keywords :
image processing; pattern recognition; quality control; reliability; surface roughness; wavelet transforms; durability; engineering industry; geometric characteristics; parts isspolzuyutsya speckle pattern; parts surface quality; performance indicators; reliability; roughness parameter measurement; speckle pattern processing; surface roughness analysis; wavelet transform; Wavelet transforms;
Conference_Titel :
Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW), 2010 International Kharkov Symposium on
Conference_Location :
Kharkiv
Print_ISBN :
978-1-4244-7900-9
DOI :
10.1109/MSMW.2010.5546010