BibTeX
@MISC{_chapter8,
author = {},
title = {Chapter 8 Analysis of Color Images},
year = {}
}
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Abstract
The major objective of the color image analysis is to identify surface stains and other small defects such as small worm holes or small pin knots that are hard to detect in either the laser image or the X-ray image. However, the analysis of the color image is fully capable of detecting and identifying any of the visible defects that have been mentioned throughout the course of the discussion in the last two chapters. That is to say the system is capable of identifying all these defects in the form that they would present themselves at this stage of the processing, i.e., after the analysis of the laser image, L(i, j), and the analysis of the X-ray image, X(i, j), have both been completed. The complete list of defects that the analysis of the color image must be able to handle include surface stain, small or shallow mineral streak, small or shallow knots, small holes, wane containing bark, and small splits, i.e., special versions of all the defects that system is supposed to be able to identify. Note that all of these defects manifest themselves as a discoloration of the board’s surface and hence are detectable in the color image. The color image of a board’s face is obtained using a color line-scan camera. The line-scan camera provides raw color image, CRAW(i, j), that has higher cross board spatial resolution than the raw images provided by either of the other two imaging modalities, i.e., LRAW(i, j) and
Keyphrases
color image x-ray image laser image small pin knot surface stain color line-scan camera small split visible defect board face special version color image analysis major objective raw color image shallow knot shallow mineral streak cross board spatial resolution small defect complete list line-scan camera small worm hole raw image include surface stain small hole
