Image enhancements using wavelet preprocessing for printed circuit board classification

Hanseok Ko, Frederick Berko, Brian Telfer, Joseph Garcia

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

Image enhancement techniques based on a composition of uncorrected 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
Pages (from-to)473-480
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2491
DOIs
Publication statusPublished - 1995 Apr 6
Externally publishedYes
EventWavelet Applications II 1995 - Orlando, United States
Duration: 1995 Apr 171995 Apr 21

Keywords

  • Image enhancement
  • Printed circuit board
  • Wavelet

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Image enhancements using wavelet preprocessing for printed circuit board classification'. Together they form a unique fingerprint.

Cite this