Detection of central positions of noisy rounded square function using modified Haar wavelet transform and Haar-Gaussian wavelet transform

We propose and demonstrate new wavelet transforms, the modified Haar wavelet transform and Haar-Gaussian wavelet transform, for the detection of central positions of a noisy rounded square function. The advantage is the immunity of the wavelet transform to random noise. The alternative technique bas...

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Bibliographic Details
Published in:Optical Engineering 2000-05, Vol.39 (5), p.1190-1193
Main Authors: Song, Feijun, Yu, Lei, Jutamulia, Suganda
Format: Article
Language:English
Subjects:
automatic inspection
Haar wavelet transform
Haar-Gaussian wavelet transform
machine vision
modified Haar wavelet transform
wavelet transform
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Summary:We propose and demonstrate new wavelet transforms, the modified Haar wavelet transform and Haar-Gaussian wavelet transform, for the detection of central positions of a noisy rounded square function. The advantage is the immunity of the wavelet transform to random noise. The alternative technique based on first- and second-order differentiation cannot be applied when the signal function is corrupted by noise. The proposed technique can be used for lead inspection of surface mount devices in the electronic industry. ©
ISSN:0091-3286
1560-2303
DOI:10.1117/1.602491