Eighteen Ponderosa Pine (Pinus ponderosa Dougl.ex.laws) veneer flitches
were randomly selected and crosscut into paired flitches. Serpentine-end-matched
(SEM) joints were machined in the flitches, joint amplitude equal to the width in
one half of the paired flitch and joint amplitude equal to 2/3 width in the other half
of the...
The goal of this research is to develop automatic techniques for
identifying defects in Douglas-fir veneer. To achieve this goal,
computer vision techniques, in particular image-processing, will be
applied. Several pre-processing steps may be required to enhance
images in making further analysis easier, faster, and more reliable.
Pre-processing is often...