INSTITUTE OF PHYSICS PUBLISHING MEASUREMENT SCIENCE AND TECHNOLOGY
Meas. Sci. Technol. 17 (2006) 2299–2305 doi:10.1088/0957-0233/17/8/035
Optical surface flatness recognized by
discrete wavelet transform and grey level
co-occurrence matrix
Chuen-Lin Tien and You-Ru Lyu
Department of Electrical Engineering, Feng Chia University, Taichung, Taiwan,
Republic of China
E-mail: cltien@fcu.edu.tw
Received 24 April 2006, in final form 6 June 2006
Published 17 July 2006
Online at stacks.iop.org/MST/17/2299
Abstract
Optical surface flatness evaluated by the discrete wavelet transform and grey
level co-occurrence matrix (GLCM) is presented. A PC-based measurement
system can be used to detect the interference fringe of an optical reflective
surface captured from a Twyman–Green interferometer. Wavelet analysis
and GLCM process associated with the entropy criterion appears to be a
good method for recognizing automatically the flatness of the optical
surfaces. Three-dimensional plots of the GLCM and surface deformation
contour for various captured interference patterns of glass substrates have
been compared and discussed. The parameter of entropy has been calculated
from the GLCM and then can be used as an indicator for optical surface
characteristics.
Keywords: surface flatness, discrete wavelet transform, grey level
co-occurrence matrix, entropy, interferometer
1. Introduction
Optical surfaces have been produced for generations by a
grinding and polishing process. Various surfacing methods
produce very different defects. Fast inspection and test
procedures are required to control quality standards and to
avoid manufacturing defects. Surface flatness is a critical
parameter of silicon wafers for making integrated circuits,
and measurement of wafer flatness is an essential process for
both wafer manufacturers and device manufacturers. In optical
coating applications, the surface flatness of the glass substrates
is also a very important property, since the adhesion of a thin
film to the substrate depends critically on conditions at the
substrate surface. To control the quality of optical coatings,
it is necessary for all the substrates in the manufacturing
process to be examined; however, only sample testing is
currently available because of the slowness of the examination
process. Surface flatness measurement in automatic, non-
contacting, user-friendly ways is becoming necessary during
the quality control process. There has been much interest in
the automotive industry in developing non-contact techniques
for the measurement of optical surfaces. A major problem
in testing high-quality optical surfaces has been lack of a
fast measuring technique for mapping their deviations from
flatness. Several methods have been proposed to extend such
measurements to map the deformation from flatness of the test
surface [1–4]. There are several methods for determining the
flatness of a test surface by means of non-contact measuring
techniques. Fringe displacement method [5] in a Fizeau
interferometer is one of the techniques used for determining
the surface flatness. Interference fringes are produced by a
reference flat whose flatness is known. The test plate is put
on the reference plate and the displacement in the position
of the interference fringe is measured. However, this is a
very time-consuming process if it is based on visual methods.
To properly evaluate the surface flatness of glass substrates,
improved measuring instruments with high accuracy and high
measurement speed must be developed.
In this paper, we proposed an automated inspection
method based on the discrete wavelet transform (DWT) and
grey level co-occurrence matrix (GLCM) for recognizing
surface defects and deformations. The wavelet transform acts
like a band-pass filter which simultaneously reduces the low-
frequency components of the object and the high-frequency
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