MORPHOLOGICAL CHARACTERIZATION OF ENGINEERED SURFACES BY WAVELET TRANSFORM

This work introduces a wavelet transform technique based on the detect ion of the multi-scale view of the components of a signal, The main ad vantages of wavelet transform over the existing signal processing tech niques are its space-frequency localization and multi-scale analysis o f roughness and waviness motifs, After an extensive review of the math ematical and signal processing fundamentals of the wavelet technique, numerical implementations are carried out to explore the potential app lications of wavelet transform and its inverse transform multi-scale a nalysis of roughness and local morphological characterization by the d etection of the roughness singularities and 2D motif size of an engine ered surface. (C) 1998 Elsevier Science Ltd.