a line
can be
id that
ioned)
ching.
tching
af de-
targets
ethods
s mat-
1987,
| gives
riance
atively
of the
à quite
to re:
tching
ation
dies of
digital
TE cite
asis of
‘char
18 was
8,7.5,
values
r each
(grey
which
y. The
r each
| (100
0f the
r up to
The
(me )
ated in
ter of
m,are
es de-
he left
ratios
elsize
taget
ilar to
andom
uld be
duced
ulated
ation .
+10% ,
ratios
1. The
ization
better
| size)
; equal
>rihan
1:10).
',1989.
me
our (pixels)
| 27
oO l2r
0.107
17
0.087
6.8
0.067
0.04}
0.02F
Fig2 The relation between the precision of a target location and a
quantization level ;
4 Me
ixels
ou | (p )
0o,l2 Fr
0.10%
0.087
0.067
0,04 F
3
0.02} A
15
4 i À i l L 1 1 26 K
Fig3 The relation between the precision of a target location and
ratios of signal to noise.
In order to test the influence of local noise on the
precision of a target pointing the following ex-
periment was perfomed. The initial datas are: win-
dow sizes - 42*42 pixels, pixel size - 2.8um, circular
target size - 100pm. quantization level - 256 (29).
random noise - 10% . The local noise was simulated
as square (in the left hand corner of window in figure
4) which have the same grey values af pixels like a
target. The sizes of this local noise were changed.
a 8
Fig4 The circular target with the local noise.
The figure 4 shows (schematicly) minimum and
maximum sizes of local noise which where ap:
proximately 1:40 (fig.4a) and 1:4 (fig.4b) of circle
length.
A Me
(pixels)
0.057
0.041
0.037
0.02}
0.017
L
5 10 20 30 40
Fig5 The relation between precision of target location and local
noise.
The figure 5 demonstrates the variations in pre-
cisions of pointing due to local noise. Here L is the
ratio of circle length to arc length which is covered
by noise. At the same time (as a comparision) the
precision of target pointing without local noise was
0.005 pixel.
The local noise doesn’t influence the precision of a
target location when DO. This means that robust
algatithm (2,3) is rather effective to suppress noises.
The similar investigations where caried out for cross
and square targets.
Table 1 illustrates only some results of cross and
square targets location precision (in pixeis) as
compared with a circular target, T he initial datas for
tests presented here ars as foliows: a quantisatioun
level — 32 12%) a random noise - 10% , a ratio to
target size/ pixel size - 8,15,36. The relationship
betwesn the pointing precision and the quantization
level, random noise for a cross and a square targets
is in many ways similar to that of a circular ane.
Table 1. Precision of target pointing (pixels)
Kztarg.size/ pix.size
Target lemen miners tm ce E c d EE
8 15 36
circle 0.03 0.02 0.01
cross 0.27 0.08 0.03
square 0.54 0.31 0.20
Table 2. Precision of target matching (pixels)
K=targ.size/ pix.size
Tarvet en
8 15 36
circle. 0.03 0,02... 0.01
cross 0.08 0.04 0.02
square 0.17 0,15 0.13