Cutter marks on machmed wood surfaces are generated by the plamng and
mouldmg wood machming process. Cutter mark defect is referred to as inconsistency
of widths and heights of the cutter mark waves, which IS cntical m some sectors of the
woodworkmg industry. Machining speeds m the woodworkmg mdustry are
remarkably high In order to meet the demands of high efficiency and high quality, mprocess
measurement of cutter marks on machmed wood surfaces is highly desirable.
Machme visiOn technology IS bemg widely used m various quality control
applications due to Its advantages of non-contact and high data rates. Clearly, machme
visiOn IS also highly smtable for m-process measurement of wood surfaces This
research focuses on usmg machme vision techniques to measure cutter marks on
planed wood surfaces
Before machme vision methods are mvestigated, a laser profilometer IS
mvestigated for its feasibility of measunng cutter marks on wood surfaces Although
the profilometer cannot be used for m-process applications, it provides a good
reference for other methods.
Three maJor machme vision methods and their vanatwns are investigated They
are the Light Sectionmg method and the Differential Light Sectwmng method, the
Shadow Analysis method and the Multi-Angle Shadow Analysis method, the twoImage
Photometric Stereo method and the one-Image Shape From Shadmg method
Nme samples, made of three species of wood - beech, oak and ramin, with
cutter mark widths of l.Smm, 2mm and 2 Smm generated on the samples of each
species, are tested. Surface profiles measured with all the machme visiOn methods are
compared to the reference profiles measured with the laser profilometer.
Expenments mdiCate that the Light Sectwmng method and the Shadow Analysis
method both work to some extent, the Differential Light Sectwmng method and the
Multi-Angle Shadow Analysis method are not practiCal; the two-Image Photometnc
Stereo method IS the most reliable machine vision method among all the methods
mvestigated; and the one-Image Shape From Shadmg method needs further studies.
History
School
Mechanical, Electrical and Manufacturing Engineering