Image enhancements using wavelet preprocessing for printed circuit board classification

Hanseok Ko, F. Berko, Brian A. Telfer, Joseph P. Garcia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Image enhancement techniques based on a composition of uncorrelated subband coefficients called `wavelet' features are demonstrated on printed circuit board images for fault detection objectives as applied to an automated inspection system. The wavelets are used to preprocess the imagery for enhancing and filling the holes on the images of the conducting connections. Several image enhancement techniques are demonstrated and described to make visual performance comparisons.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsHarold H. Szu
Pages473-480
Number of pages8
Volume2491
Edition1/-
Publication statusPublished - 1995 Dec 1
Externally publishedYes
EventWavelet Applications II. Part 1 (of 2) - Orlando, FL, USA
Duration: 1995 Apr 171995 Apr 21

Other

OtherWavelet Applications II. Part 1 (of 2)
CityOrlando, FL, USA
Period95/4/1795/4/21

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Ko, H., Berko, F., Telfer, B. A., & Garcia, J. P. (1995). Image enhancements using wavelet preprocessing for printed circuit board classification. In H. H. Szu (Ed.), Proceedings of SPIE - The International Society for Optical Engineering (1/- ed., Vol. 2491 , pp. 473-480)