Paper Title :Neural Model For Image Enhancement Using Discrete Wavelet Transform
Author :Syed Jahangir Badashah, P.Subbaiah
Article Citation :Syed Jahangir Badashah ,P.Subbaiah ,
(2013 ) " Neural Model For Image Enhancement Using Discrete Wavelet Transform " ,
International Journal of Electrical, Electronics and Data Communication (IJEEDC) ,
pp. 16-21,
Volume-1,Issue-2
Abstract : Surface roughness, is a measurement of texture of surface scale features on the surfaces, and is a branch of
metrology. Many research had lead machine vision applications in industries, as they have the advantage of non-contact and
fast process than contact methods. Machine Vision, is a technology and methods used to provide imaging based automatic
inspection and analysis for such applications as automatic inspection, process control and robot guidance in industry be used
to analyze the area of the surface, to make intelligent decision in the applications. In this research work, surface roughness
estimation has done by Machine vision system. Feature extraction for the enhanced images in frequency domain done with
Transform techniques. A neural network (NN) is trained with the values as input acquired from wavelet Transform and
obtain R
t as output. The estimated surface roughness (R
t
) based on NN are compared with Rt
values of the Stylus method.
Type : Research paper
Published : Volume-1,Issue-2
DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-136
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Published on 2014-01-20 |
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