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Optical Engineering

Detection of central positions of noisy rounded square function using modified Haar wavelet transform and Haar-Gaussian wavelet transform
Author(s): Feijun Song; Yu Lei; Suganda Jutamulia
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Paper Abstract

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.

Paper Details

Date Published: 1 May 2000
PDF: 4 pages
Opt. Eng. 39(5) doi: 10.1117/1.602491
Published in: Optical Engineering Volume 39, Issue 5
Show Author Affiliations
Feijun Song, China Daheng Corp. (China)
Yu Lei, China Daheng Corp. (China)
Suganda Jutamulia, Blue Sky Research (United States)

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