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Elphel
imagej-elphel
Commits
43fae5db
Commit
43fae5db
authored
Oct 29, 2014
by
Andrey Filippov
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Plain Diff
Fixed old bug in "Calculate grids", introdudced temporary debugs
parent
db4561f4
Changes
1
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1 changed file
with
68 additions
and
24 deletions
+68
-24
MatchSimulatedPattern.java
src/main/java/MatchSimulatedPattern.java
+68
-24
No files found.
src/main/java/MatchSimulatedPattern.java
View file @
43fae5db
...
@@ -965,7 +965,23 @@ public class MatchSimulatedPattern {
...
@@ -965,7 +965,23 @@ public class MatchSimulatedPattern {
double
ringWidth
,
// ring (around r=0.5 dist to opposite corr) width
double
ringWidth
,
// ring (around r=0.5 dist to opposite corr) width
double
x0
,
// center coordinates
double
x0
,
// center coordinates
double
y0
,
double
y0
,
String
title
)
{
// title base for optional plots names
String
title
){
return
correlationContrast
(
pixels
,
// square pixel array
wVectors
,
// wave vectors (same units as the pixels array)
ringWidth
,
// ring (around r=0.5 dist to opposite corr) width
x0
,
// center coordinates
y0
,
title
,
// title base for optional plots names
this
.
debugLevel
);
}
public
double
correlationContrast
(
double
[]
pixels
,
// square pixel array
double
[][]
wVectors
,
// wave vectors (same units as the pixels array)
double
ringWidth
,
// ring (around r=0.5 dist to opposite corr) width
double
x0
,
// center coordinates
double
y0
,
String
title
,
// title base for optional plots names
int
debugLevel
){
int
size
=(
int
)
Math
.
sqrt
(
pixels
.
length
);
int
size
=(
int
)
Math
.
sqrt
(
pixels
.
length
);
double
[]
xy
=
new
double
[
2
];
double
[]
xy
=
new
double
[
2
];
double
[]
uv
;
double
[]
uv
;
...
@@ -977,7 +993,7 @@ public class MatchSimulatedPattern {
...
@@ -977,7 +993,7 @@ public class MatchSimulatedPattern {
double
r2WingsOuter
=
0.0625
*(
1.0
+
ringWidth
)*(
1.0
+
ringWidth
);
double
r2WingsOuter
=
0.0625
*(
1.0
+
ringWidth
)*(
1.0
+
ringWidth
);
double
r2WingsInner
=
0.0625
*(
1.0
-
ringWidth
)*(
1.0
-
ringWidth
);
double
r2WingsInner
=
0.0625
*(
1.0
-
ringWidth
)*(
1.0
-
ringWidth
);
double
r2Center
=
0.0625
*(
ringWidth
)*(
ringWidth
);
double
r2Center
=
0.0625
*(
ringWidth
)*(
ringWidth
);
if
(
this
.
debugLevel
>
2
)
System
.
out
.
println
(
"rWingsOuter="
+
Math
.
sqrt
(
r2WingsOuter
)+
" rWingsInner="
+
Math
.
sqrt
(
r2WingsInner
)+
" rCenter="
+
Math
.
sqrt
(
r2Center
));
if
(
debugLevel
>
2
)
System
.
out
.
println
(
"rWingsOuter="
+
Math
.
sqrt
(
r2WingsOuter
)+
" rWingsInner="
+
Math
.
sqrt
(
r2WingsInner
)+
" rCenter="
+
Math
.
sqrt
(
r2Center
));
double
valCenter
=
0.0
;
double
valCenter
=
0.0
;
double
valWings
=
0.0
;
double
valWings
=
0.0
;
...
@@ -1002,14 +1018,16 @@ public class MatchSimulatedPattern {
...
@@ -1002,14 +1018,16 @@ public class MatchSimulatedPattern {
}
}
}
}
if
((
numWings
==
0.0
)
||
(
numCenter
==
0.0
))
{
if
((
numWings
==
0.0
)
||
(
numCenter
==
0.0
))
{
if
(
this
.
debugLevel
>
1
)
System
.
out
.
println
(
"Not enough data for correlation contrast: numCenter="
+
numCenter
+
" numWings="
+
numWings
+
if
(
debugLevel
>
1
)
System
.
out
.
println
(
"Not enough data for correlation contrast: numCenter="
+
numCenter
+
" numWings="
+
numWings
+
" valCenter="
+
IJ
.
d2s
(
valCenter
,
2
)+
" valWings="
+
IJ
.
d2s
(
valWings
,
2
));
" valCenter="
+
IJ
.
d2s
(
valCenter
,
2
)+
" valWings="
+
IJ
.
d2s
(
valWings
,
2
));
return
-
1.0
;
return
-
1.0
;
}
}
double
contrast
=
Math
.
sqrt
((
valCenter
/
numCenter
)/(
valWings
/
numWings
));
double
contrast
=
Math
.
sqrt
((
valCenter
/
numCenter
)/(
valWings
/
numWings
));
if
(
this
.
debugLevel
>
2
)
{
if
(
debugLevel
>
2
)
{
System
.
out
.
println
(
"Correlation contrast is "
+
contrast
);
System
.
out
.
println
(
"Correlation contrast is "
+
contrast
);
float
[]
floatPixels
=
new
float
[
size
*
size
];
double
[]
maskedPixels
=
new
double
[
size
*
size
];
double
[]
u_value
=
new
double
[
size
*
size
];
double
[]
v_value
=
new
double
[
size
*
size
];
int
index
;
int
index
;
for
(
i
=
0
;
i
<
size
;
i
++)
{
for
(
i
=
0
;
i
<
size
;
i
++)
{
xy
[
1
]=
i
-
size
/
2
-
y0
;
xy
[
1
]=
i
-
size
/
2
-
y0
;
...
@@ -1018,22 +1036,27 @@ public class MatchSimulatedPattern {
...
@@ -1018,22 +1036,27 @@ public class MatchSimulatedPattern {
uv
=
matrix2x2_mul
(
wVectors
,
xy
);
uv
=
matrix2x2_mul
(
wVectors
,
xy
);
r2
=
uv
[
0
]*
uv
[
0
]+
uv
[
1
]*
uv
[
1
];
r2
=
uv
[
0
]*
uv
[
0
]+
uv
[
1
]*
uv
[
1
];
index
=
i
*
size
+
j
;
index
=
i
*
size
+
j
;
u_value
[
index
]=
uv
[
0
];
v_value
[
index
]=
uv
[
1
];
/* r=Math.sqrt(r2);
/* r=Math.sqrt(r2);
r-=Math.floor(r);
r-=Math.floor(r);
floatPixels[index]=(float) r;*/
floatPixels[index]=(float) r;*/
if
(((
r2
<=
r2WingsOuter
)
&&
(
r2
>
r2WingsInner
))
||
(
r2
<=
r2Center
)){
if
(((
r2
<=
r2WingsOuter
)
&&
(
r2
>
r2WingsInner
))
||
(
r2
<=
r2Center
)){
floatPixels
[
index
]=(
float
)
pixels
[
index
];
maskedPixels
[
index
]=
pixels
[
index
];
}
else
{
}
else
{
floatPixels
[
index
]=
0.0
F
;
maskedPixels
[
index
]=
0.0
;
}
}
}
}
}
}
ImageProcessor
ip
=
new
FloatProcessor
(
size
,
size
);
double
[][]
dbgPixels
={
pixels
,
maskedPixels
,
u_value
,
v_value
};
ip
.
setPixels
(
floatPixels
);
String
[]
titles
={
"all"
,
"masked"
,
"u"
,
"v"
};
ip
.
resetMinAndMax
();
(
new
showDoubleFloatArrays
()).
showArrays
(
ImagePlus
imp
=
new
ImagePlus
(
title
+
"_CORR_MASK"
,
ip
);
dbgPixels
,
imp
.
show
();
size
,
size
,
true
,
title
+
"_CORR_MASK"
,
titles
);
}
}
return
contrast
;
return
contrast
;
}
}
...
@@ -2977,6 +3000,7 @@ public class MatchSimulatedPattern {
...
@@ -2977,6 +3000,7 @@ public class MatchSimulatedPattern {
point
[
0
]=(
selection
.
x
+
nh
*
selection
.
width
/(
1
<<
tryHor
))
&
~
1
;
point
[
0
]=(
selection
.
x
+
nh
*
selection
.
width
/(
1
<<
tryHor
))
&
~
1
;
point
[
1
]=(
selection
.
y
+
nv
*
selection
.
height
/(
1
<<
tryVert
))
&
~
1
;
point
[
1
]=(
selection
.
y
+
nv
*
selection
.
height
/(
1
<<
tryVert
))
&
~
1
;
if
(
debugLevel
>
2
)
System
.
out
.
println
(
"trying xc="
+
point
[
0
]+
", yc="
+
point
[
1
]+
"(nv="
+
nv
+
", nh="
+
nh
+
")"
);
if
(
debugLevel
>
2
)
System
.
out
.
println
(
"trying xc="
+
point
[
0
]+
", yc="
+
point
[
1
]+
"(nv="
+
nv
+
", nh="
+
nh
+
")"
);
// System.out.println("### trying xc="+point[0]+", yc="+point[1]+"(nv="+nv+", nh="+nh+")");
if
((
debugLevel
>
2
)
&&
(
startScanIndex
==
3
))
debugLevel
=
3
;
// show debug images for the first point only
if
((
debugLevel
>
2
)
&&
(
startScanIndex
==
3
))
debugLevel
=
3
;
// show debug images for the first point only
node
=
tryPattern
(
node
=
tryPattern
(
point
,
// xy to try
point
,
// xy to try
...
@@ -7332,7 +7356,15 @@ y=xy0[1] + dU*deltaUV[0]*(xy1[1]-xy0[1])+dV*deltaUV[1]*(xy2[1]-xy0[1])
...
@@ -7332,7 +7356,15 @@ y=xy0[1] + dU*deltaUV[0]*(xy1[1]-xy0[1])+dV*deltaUV[1]*(xy2[1]-xy0[1])
double
[][]
locsNeib
,
// locations and weights of neighbors to average
double
[][]
locsNeib
,
// locations and weights of neighbors to average
int
debug_level
int
debug_level
){
){
double
dbg_x
=
1005.0
;
double
dbg_y
=
1284.0
;
double
dbg_tolerance
=
5.0
;
boolean
dbgThis
=(
Math
.
abs
(
beforeXY
[
0
]-
dbg_x
)<
dbg_tolerance
)
&&
(
Math
.
abs
(
beforeXY
[
1
]-
dbg_y
)<
dbg_tolerance
);
if
(
dbgThis
)
{
System
.
out
.
println
(
"correctedPatternCrossLocationAverage4(), beforeXY[0]="
+
beforeXY
[
0
]+
", beforeXY[1]="
+
beforeXY
[
1
]);
debug_level
+=
3
;
}
// System.out.println("correctedPatternCrossLocationAverage4(): beforeXY[0]="+beforeXY[0]+". beforeXY[1]="+beforeXY[1]);
// Just for testing
// Just for testing
beforeXY
[
0
]+=
distortionParameters
.
correlationDx
;
// offset, X (in pixels)
beforeXY
[
0
]+=
distortionParameters
.
correlationDx
;
// offset, X (in pixels)
beforeXY
[
1
]+=
distortionParameters
.
correlationDy
;
// offset y (in pixels)
beforeXY
[
1
]+=
distortionParameters
.
correlationDy
;
// offset y (in pixels)
...
@@ -7551,7 +7583,8 @@ y=xy0[1] + dU*deltaUV[0]*(xy1[1]-xy0[1])+dV*deltaUV[1]*(xy2[1]-xy0[1])
...
@@ -7551,7 +7583,8 @@ y=xy0[1] + dU*deltaUV[0]*(xy1[1]-xy0[1])+dV*deltaUV[1]*(xy2[1]-xy0[1])
//TODO: verify that displacement is correct here (sign, direction)
//TODO: verify that displacement is correct here (sign, direction)
centerXY
[
0
],
// x0, // center coordinates
centerXY
[
0
],
// x0, // center coordinates
centerXY
[
1
],
//y0,
centerXY
[
1
],
//y0,
"test-contrast"
);
// title base for optional plots names
"test-contrast"
,
// title base for optional plots names
debug_level
);
result
[
2
]=
contrast
;
result
[
2
]=
contrast
;
...
@@ -8029,7 +8062,7 @@ d()/dy=C*x+2*B*y+E=0
...
@@ -8029,7 +8062,7 @@ d()/dy=C*x+2*B*y+E=0
for
(
i
=
1
;
i
<
size1
/
4
;
i
++)
hammingMod
[
size1
-
i
]=
preHammingMod
[
i
];
for
(
i
=
1
;
i
<
size1
/
4
;
i
++)
hammingMod
[
size1
-
i
]=
preHammingMod
[
i
];
for
(
i
=
size1
/
4
;
i
<=(
size1
-
size1
/
4
);
i
++)
hammingMod
[
i
]=
1.0
;
for
(
i
=
size1
/
4
;
i
<=(
size1
-
size1
/
4
);
i
++)
hammingMod
[
i
]=
1.0
;
if
(
showDebug
)
System
.
out
.
println
(
"scale="
+
scale
+
"borderAverage="
+
borderAverage
);
if
(
showDebug
)
System
.
out
.
println
(
"scale="
+
scale
+
"
borderAverage="
+
borderAverage
);
for
(
i
=
0
;
i
<
size1
;
i
++)
for
(
j
=
0
;
j
<
size1
;
j
++)
{
for
(
i
=
0
;
i
<
size1
;
i
++)
for
(
j
=
0
;
j
<
size1
;
j
++)
{
corr1
[(
i
*
size
+
j
)*
decimateFFT
]
=
scale
*(
corr
[
index
+
i
*
size
+
j
]-
borderAverage
)*
hammingMod
[
i
]*
hammingMod
[
j
]+
borderAverage
;
corr1
[(
i
*
size
+
j
)*
decimateFFT
]
=
scale
*(
corr
[
index
+
i
*
size
+
j
]-
borderAverage
)*
hammingMod
[
i
]*
hammingMod
[
j
]+
borderAverage
;
}
}
...
@@ -8042,20 +8075,31 @@ d()/dy=C*x+2*B*y+E=0
...
@@ -8042,20 +8075,31 @@ d()/dy=C*x+2*B*y+E=0
for
(
i
=
size1
/
2
+
1
;
i
<
size
-(
size1
/
2
);
i
++)
for
(
j
=
0
;
j
<
size
;
j
++)
corr1
[
i
*
size
+
j
]=
0.0
;
for
(
i
=
size1
/
2
+
1
;
i
<
size
-(
size1
/
2
);
i
++)
for
(
j
=
0
;
j
<
size
;
j
++)
corr1
[
i
*
size
+
j
]=
0.0
;
for
(
i
=
size
-(
size1
/
2
);
i
<
size
;
i
++)
for
(
j
=
size1
/
2
+
1
;
j
<
size
-(
size1
/
2
);
j
++)
corr1
[
i
*
size
+
j
]=
0.0
;
for
(
i
=
size
-(
size1
/
2
);
i
<
size
;
i
++)
for
(
j
=
size1
/
2
+
1
;
j
<
size
-(
size1
/
2
);
j
++)
corr1
[
i
*
size
+
j
]=
0.0
;
// apply window for now - just
// apply window for now - just
double
[]
hamming
=
fht_instance
.
getHamming1d
(
size1
);
/*
if (showDebug) {
System.out.println("Getting hamming1d ("+size1+")");
}
*/
double
[]
hamming
=
fht_instance
.
getHamming1d
(
size1
).
clone
();
/*
if (showDebug) {
for (i=0;i<hamming.length;i++) System.out.println("hamming["+i+"]="+hamming[i]);
}
if (showDebug) SDFA_INSTANCE.showArrays(corr1.clone(), "NO_ALIAS");
// Combine with low-pass Gaussian (if it is >0)
// Combine with low-pass Gaussian (if it is >0)
if (lowpass>0){
if (lowpass>0){
double [] gaussian1d=fht_instance.getGaussian1d(lowpass,size1); // no need to divide by /decimateFFT as we use size1, not size
double [] gaussian1d=fht_instance.getGaussian1d(lowpass,size1); // no need to divide by /decimateFFT as we use size1, not size
for (i=0;i<hammingMod.length;i++) hamming[i]*=gaussian1d[i];
for (i=0;i<hammingMod.length;i++) hamming[i]*=gaussian1d[i];
//
if (showDebug) {
if (showDebug) {
//
System.out.println("lowpass="+lowpass);
System.out.println("lowpass="+lowpass);
//
for (i=0;i<gaussian1d.length;i++) System.out.println("gaussian1d["+i+"]="+gaussian1d[i]);
for (i=0;i<gaussian1d.length;i++) System.out.println("gaussian1d["+i+"]="+gaussian1d[i]);
//
}
}
}
}
// if (showDebug) {
if (showDebug) {
// for (i=0;i<hamming.length;i++) System.out.println("hamming["+i+"]="+hamming[i]);
for (i=0;i<hamming.length;i++) System.out.println("hamming["+i+"]="+hamming[i]);
// }
}
*/
int
halfSize1
=
size1
/
2
,
shiftZero
=
size
-
halfSize1
;
int
halfSize1
=
size1
/
2
,
shiftZero
=
size
-
halfSize1
;
for
(
i
=
0
;
i
<=
size1
;
i
++)
for
(
j
=
0
;
j
<=
size1
;
j
++){
for
(
i
=
0
;
i
<=
size1
;
i
++)
for
(
j
=
0
;
j
<=
size1
;
j
++){
int
im
=
i
%
size1
,
jm
=
j
%
size1
;
int
im
=
i
%
size1
,
jm
=
j
%
size1
;
...
...
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