Full text: XVIIIth Congress (Part B1)

  
6 AUTOMATED ANALYSIS 
When locating the center of measuring marks with sub-pixel 
accuracy a wide range of techniques is proposed and these 
can be grouped as centroiding, correlation, edge analysis and 
shape based techniques [Trinder, 1989] [West, 1990]. Auto- 
mated measurement is possible with an accuracy of better 
than + 0.1 pixels. With the scanner evaluation system the 
center of circular digital dots and other symmetric measuring 
marks can be found automatically with subpixel accuracy by 
means of a weighted center finding algorithm [Trinder, 1989]. 
According to the former investigations with a target diameter 
of 4 pixels of [Maalen, 1993] the automated algorithms de- 
liver the best results. Target sizes of less than 4 pixels have to 
be avoided due to large deterioration of precision, whereas the 
precision is slightly lower but sufficient for more than 4 pixels 
of diameter. The dynamic range of the measuring marks will 
not significantly influence the accuracy of centering as long 
it has more than 2 bits of radiometric resolution . Thresh- 
olding can be used to isolate the background from the target 
which results in a certain loss of radiometric range. Machine 
centering at suitable measuring marks is preferred since in 
the long term it offers higher accuracy, independent of the 
operators skill and of the exact diameter of the targets. Fi- 
nally, of course, it will also be faster to center automatically 
by machine than to accomplish this by hand. 
7 EXPERIMENTAL RESULTS 
Various investigations of geometric accuracy on different 
scanners from the low price DTP scanner to the high per- 
formance film scanner were performed by means of the 
SCANEVAL system. Here the individual manufactorers and 
scanner models are kept anonymous to emphasize the test 
technology, not the specific test result. Typical geometric 
errors according to the scanners scanning principle can be 
obtained by scanning and analyzing the geometric accuracy 
target. 
7.1 Single line CCD Scanner 
Figure 3 shows the error vectors for a DTP scanner using 
single line CCD technology. The change of vector orientation 
in the scanning direction indicates that the speed of the CCD 
linear array is not stable when moving over the scanning area. 
Consequently the resulting real pixel size is varying over the 
scanning region and is directly proportional to residual varia- 
tions. 
7.2 Multiple swath line CCD scanner 
The residual error vectors obtained after an affine transforma- 
tion for a widely distributed high performance flatbed scanner 
can be seen in Figure 4. In this case adjacent scanning swaths 
are stitched together to one large digital image. The changing 
vector orientations in scanning direction indicate mechanical 
misalignment of the line array CCD when scanning neighbor- 
ing swaths. 
7.3 Square array CCD scanner 
The residual error vectors for a high performance film scanner 
working with the square array CCD principle are shown in 
Figure 5. To avoid geometric errors adjacent tiles have to be 
assembled geometrically and radiometrically. 
184 
  
lle: pat gri ; .B2 pixel / 34.66 um, ^ Resid.foct- 54 
mox. deviation horizontal = 1.88 pixel / 79.50 um 
mox. deviation vertical = 2.04 pixel / 86.31 um, Pixelsize= 42.3 um 
Figure 3: Residual error vectors when evaluating a test area of 
11cm x 16 cm, including 19 x 30 measuring marks. Here the 
scanning resolution is 600dpi (42um). The r.m.s. deviation 
from ideal mark position obtained by affine transform is + 
35 pm. Maximum deviations are 74 um horizontally and 87 
pm vertically. error vector magnification: 54; scan direction: 
left to right; 
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mox. deviation horizontal — 1.38 pixel / 10.18 um 
mox. deviation vertical = 2.00 pixel / 15.02 um, Pixelsize= 7,5 jam 
Figure 4: A subsection of resulting residual error vectors when 
evaluating a test area of 11cm x 16 cm, including 19 x 30 mea- 
suring marks. Orientation of error vectors changes in neigh- 
bored measuring mark columns. This leads to the assumption 
that adjacent scanning swaths are misaligned. Affine trans- 
form; Pixelsize=7.5um; RMS error==4 6.2um; error vector 
magnification: 332; swath scan direction: top to bottom. 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B1. Vienna 1996 
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