IngenierÃa, investigación y tecnologÃa. - Facultad de IngenierÃa ...
IngenierÃa, investigación y tecnologÃa. - Facultad de IngenierÃa ...
IngenierÃa, investigación y tecnologÃa. - Facultad de IngenierÃa ...
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3-D Carte sian Geometric Moment Compu ta tion using Morpho log ical Oper a tions and ...<br />
The reaser can easily show that:<br />
m1 00 = m 000 X c<br />
(12a)<br />
m 0 10 = m 000 Y c<br />
(12b)<br />
m 0 01 = m 000 Z c<br />
(12c)<br />
m<br />
m<br />
m<br />
102<br />
201<br />
012<br />
m 000 2<br />
= X c( 3 Z c + t ( t + 1)) (12o)<br />
3<br />
m 000 Z X<br />
2<br />
=<br />
c( 3<br />
c<br />
+ t ( t + 1)) (12p)<br />
3<br />
m 000 2<br />
= Y c( 3 Z c + t ( t + 1)) (12q)<br />
3<br />
m<br />
2 00<br />
m 00 0 2<br />
= ( 3X<br />
+ t( t + 1)) (12d)<br />
c<br />
3<br />
m<br />
021<br />
m 000 2<br />
= Z<br />
c( 3 Y<br />
c<br />
+ t ( t + 1)) (12r)<br />
3<br />
m<br />
0 20<br />
m 00 0 2<br />
= ( 3Yc<br />
+ t( t + 1)) (12e)<br />
3<br />
m = m X Y Z<br />
(12s)<br />
111 000<br />
c c c<br />
m<br />
0 02<br />
m<br />
00 0 2<br />
= ( 3Zc<br />
+ t( t + 1)) (12f)<br />
3<br />
m = m Y = m X Y (12g)<br />
1 10 100 c 00 0 c c<br />
m = m Z = m X Z (12h)<br />
1 01 100 c 00 0 c c<br />
m = m Y = m Y Z (12i)<br />
0 11 001 c 00 0 c c<br />
m = m X ( X + t( t +1 )) (12j)<br />
3 00 000<br />
c<br />
2<br />
c<br />
m = m Y ( Y + t( t +1)) (12k)<br />
0 30 000<br />
c<br />
2<br />
c<br />
m = m Z ( Z + t( t +1)) (12l)<br />
m<br />
0 03 000<br />
1 20<br />
c<br />
2<br />
c<br />
m 000 X Y<br />
2<br />
= c( 3 c + t ( t + 1 )) (12m)<br />
3<br />
Method based on iter ated erosions<br />
to get the parti tion<br />
The following method to compute the<br />
geometric moments of a 3-D object R ⊂ Z<br />
3 ,<br />
using morphological erosions is a direct<br />
extension to the one <strong>de</strong>scribed in Sossa et al.<br />
(2001). It is composed of the following steps:<br />
1. Initialize 20 accu mu la tors Ci=0,<br />
for i=1,2,...,20, one for each geometric<br />
moment.<br />
2. Make A= R and, B=<br />
{( ± a , ± b , ± c) a, b , c∈ { −1 , 0, 1 }}, B is a 3 × 3×<br />
3<br />
pixel neigh bor hood in Z 3 .<br />
3. Assign A ← A θ B iteratively until<br />
the next erosion results in ∅ (the null<br />
set). The number of iter a tions of the<br />
erosion oper a tion before set ∅ appears,<br />
is the radius t of the maximal cube<br />
completely contained in the original<br />
region R. The center of this cube is found<br />
in set A just before set ∅ appears.<br />
m<br />
2 10<br />
m<br />
00 0 Y c X<br />
2<br />
= ( 3 c + t ( t + 1 )) (12n)<br />
3<br />
4. Select one of the points of A and<br />
given that the radius t of the maximal<br />
cube is known, we use the formulae<br />
116 INGENIERIA Investigación y Tecnología FI-UNAM