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nifti_resize.pas
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unit nifti_resize;
{$mode delphi}
{$H+}
{$D-,O+,Q-,R-,S-} //Delphi L- Y-
interface
uses
{$IFDEF UNIX} DateUtils,{$ENDIF}
Classes, SysUtils, nifti_types, SimdUtils, dialogs;
//function EnlargeIsotropic(var lHdr: TNIFTIhdr; var lBuffer: TUInt8s): boolean;
function ShrinkLargeMb(var lHdr: TNIFTIhdr; var lBuffer: TUInt8s; lMaxTexMb: integer; isAntiAlias, isLabels: boolean): boolean;
//function ShrinkLarge(var lHdr: TNIFTIhdr; var lBuffer: TUInt8s; lMaxDim: integer; isLabels: boolean = false): boolean;
function ShrinkOrEnlarge(var lHdr: TNIFTIhdr; var lBuffer: TUInt8s; lFilter: integer; lScale: single): boolean; overload;
function ShrinkOrEnlarge(var lHdr: TNIFTIhdr; var lBuffer: TUInt8s; lFilter: integer; lScaleX, lScaleY, lScaleZ: single; outDatatype : integer = -1): boolean; overload;
implementation
uses math;
// Extends image shrink code by Anders Melander, [email protected]
// Here's some additional copyrights for you:
//
// The algorithms and methods used in this library are based on the article
// "General Filtered Image Rescaling" by Dale Schumacher which appeared in the
// book Graphics Gems III, published by Academic Press, Inc.
// From filter.c:
// The authors and the publisher hold no copyright restrictions
// on any of these files; this source code is public domain, and
// is freely available to the entire computer graphics community
// for study, use, and modification. We do request that the
// comment at the top of each file, identifying the original
// author and its original publication in the book Graphics
// Gems, be retained in all programs that use these files.
// Box filter
// a.k.a. "Nearest Neighbour" filter
// anme: I have not been able to get acceptable
// results with this filter for subsampling.
function BoxFilter(Value: Single): Single;
begin
if (Value > -0.5) and (Value <= 0.5) then
Result := 1.0
else
Result := 0.0;
end;
// Hermite filter
function HermiteFilter(Value: Single): Single;
begin
// f(t) = 2|t|^3 - 3|t|^2 + 1, -1 <= t <= 1
if (Value < 0.0) then
Value := -Value;
if (Value < 1.0) then
Result := (2.0 * Value - 3.0) * Sqr(Value) + 1.0
else
Result := 0.0;
end;
// Triangle filter
// a.k.a. "Linear" or "Bilinear" filter
function TriangleFilter(Value: Single): Single;
begin
if (Value < 0.0) then
Value := -Value;
if (Value < 1.0) then
Result := 1.0 - Value
else
Result := 0.0;
end;
// Bell filter
function BellFilter(Value: Single): Single;
begin
if (Value < 0.0) then
Value := -Value;
if (Value < 0.5) then
Result := 0.75 - Sqr(Value)
else if (Value < 1.5) then
begin
Value := Value - 1.5;
Result := 0.5 * Sqr(Value);
end
else
Result := 0.0;
end;
// B-spline filter
function SplineFilter(Value: Single): Single;
var
tt: single;
begin
if (Value < 0.0) then
Value := -Value;
if (Value < 1.0) then
begin
tt := Sqr(Value);
Result := 0.5 * tt * Value - tt + 2.0 / 3.0;
end
else if (Value < 2.0) then
begin
Value := 2.0 - Value;
Result := 1.0 / 6.0 * Sqr(Value) * Value;
end
else
Result := 0.0;
end;
// Lanczos3 filter
function Lanczos3Filter(Value: Single): Single;
function SinC(Value: Single): Single;
begin
if (Value <> 0.0) then
begin
Value := Value * Pi;
Result := sin(Value) / Value
end
else
Result := 1.0;
end;
begin
if (Value < 0.0) then
Value := -Value;
if (Value < 3.0) then
Result := SinC(Value) * SinC(Value / 3.0)
else
Result := 0.0;
end;
function MitchellFilter(Value: Single): Single;
const
B = (1.0 / 3.0);
C = (1.0 / 3.0);
var
tt: single;
begin
if (Value < 0.0) then
Value := -Value;
tt := Sqr(Value);
if (Value < 1.0) then
begin
Value := (((12.0 - 9.0 * B - 6.0 * C) * (Value * tt))
+ ((-18.0 + 12.0 * B + 6.0 * C) * tt)
+ (6.0 - 2 * B));
Result := Value / 6.0;
end
else if (Value < 2.0) then
begin
Value := (((-1.0 * B - 6.0 * C) * (Value * tt))
+ ((6.0 * B + 30.0 * C) * tt)
+ ((-12.0 * B - 48.0 * C) * Value)
+ (8.0 * B + 24 * C));
Result := Value / 6.0;
end
else
Result := 0.0;
end;
type
// Contributor for a pixel
TFilterProc = function(Value: Single): Single;
TContributor = record
pixel: integer; // Source pixel
weight: single; // Pixel weight
end;
TContributorList = array[0..0] of TContributor;
PContributorList = ^TContributorList;
// List of source pixels contributing to a destination pixel
TCList = record
n: integer;
p: PContributorList;
end;
TCListList = array[0..0] of TCList;
PCListList = ^TCListList;
procedure SetContrib(out contrib: PCListList; SrcPix, DstPix, Delta: integer; xscale, fwidth: single; filter: TFilterProc);
var
i,j,k: int64;
width, fscale: single;
sum, center, weight: single; // Filter calculation variables
left, right: integer; // Filter calculation variables
begin
if (DstPix < 1) or (xscale <= 0) then exit;
if (xscale < 1)and (fwidth > 0.6) then //not for nearest neighbor!
fscale := 1.0 / xscale
else
fscale := 1.0;
width := fwidth * fscale;
GetMem(contrib, DstPix * sizeof(TCList));
for i := 0 to DstPix - 1 do begin
contrib^[i].n := 0;
GetMem(contrib^[i].p, trunc(width * 2.0 + 1) * sizeof(TContributor));
center := i / xscale;
left := floor(center - width);
left := max(left,0);
right := ceil(center + width);
right := min(right, SrcPix - 1);
sum := 0.0;
for j := left to right do begin
weight := filter((center - j) / fscale) / fscale;
if (weight = 0.0) then
continue;
sum := sum + weight;
k := contrib^[i].n;
contrib^[i].n := contrib^[i].n + 1;
contrib^[i].p^[k].pixel := j * Delta;
contrib^[i].p^[k].weight := weight;
end;
for k := 0 to contrib^[i].n - 1 do
contrib^[i].p^[k].weight := contrib^[i].p^[k].weight/sum;
(*showmessage(format('n=%d l=%d r=%d c=%g sum=%g',[contrib^[i].n, left, right, center, sum]));
for k := 0 to contrib^[i].n - 1 do
showmessage(format('%d %g',[contrib^[i].p^[k].pixel, contrib^[i].p^[k].weight])); *)
end;
end;
procedure Zoom(var lHdr: TNIFTIhdr; xScale, yScale, zScale: single);
//if we have a 256x256x256 pixel image with scale of 0.5, output is 128x128x128
//if we have a 1x1x1mm pixel image with a scale of 2.0, output is 2x2x2mm
var
i, inDim: int64;
scale: array[1..3] of single;
begin
//showmessage(format('%g -> %g %g %g; %g %g %g; %g %g %g',[iScale, lHdr.srow_x[0],lHdr.srow_y[0],lHdr.srow_z[0], lHdr.srow_x[1],lHdr.srow_y[1],lHdr.srow_z[1], lHdr.srow_x[2],lHdr.srow_y[2],lHdr.srow_z[2]]));
for i := 1 to 3 do begin
if i = 1 then
scale[i] := xScale
else if i = 2 then
scale[i] := yScale
else
scale[i] := zScale;
if (round(lHdr.dim[i] * scale[i]) < 1) then begin
scale[i] := 1/ lHdr.dim[i] //e.g. for reducing 2D images, Z dimension does not change
end;
inDim := lHdr.dim[i];
lHdr.dim[i] := round(lHdr.dim[i] * scale[i]);
scale[i] := lHdr.dim[i] / inDim; //e.g. rounding error
lHdr.pixdim[i] := lHdr.pixdim[i] / scale[i];
//fx(lHdr.srow_x[i] ,lHdr.srow_y[i] ,lHdr.srow_z[i] );
end;
for i :=0 to 2 do begin
lHdr.srow_x[i] := lHdr.srow_x[i]/ scale[i+1];
lHdr.srow_y[i] := lHdr.srow_y[i]/ scale[i+1];
lHdr.srow_z[i] := lHdr.srow_z[i]/ scale[i+1];
end;
end;
procedure Resize32(var lHdr: TNIFTIhdr; var lImg8: TUInt8s; xScale, yScale, zScale, fwidth: single; filter: TFilterProc);
//rescales images with any dimension larger than lMaxDim to have a maximum dimension of maxdim...
label
666;
const
kIdx1 = 0; //0=arrays indexed from 0, 1= arrays indexed from 1
kEnd = 1 - kIdx1;
var
//sum, mx, mn: single;
sum, mx, mn: double;
lineStart, x,y,z, lXo,lYo,lZo,lXi,lYi,lZi, i,j: int64;
contrib: PCListList;
finalImg, img8x, img8y, img8z: TUInt8s;
inImg, tempImgX, tempImgY, tempImgZ, out32: TFloat32s;
begin
//bytesPerVox := 4;
lXi := lHdr.dim[1]; //input X
lYi := lHdr.dim[2]; //input Y
lZi := lHdr.dim[3]; //input Z
lXo := lXi; lYo := lYi; lZo := lZi; //output initially same as input
//inBytes := lHdr.dim[1]*lHdr.dim[2]*lHdr.dim[3]*bytesPerVox;
inImg := TFloat32s(lImg8);
//find min/max values
mn := inImg[0];
mx := mn;
for i := 0 to (lHdr.dim[1]*lHdr.dim[2]*lHdr.dim[3])-kEnd do begin
if inImg[i] < mn then mn := inImg[i];
if inImg[i] > mx then mx := inImg[i];
end;
Zoom(lHdr,xScale, yScale, zScale);
//shrink in 1st dimension : do X as these are contiguous = faster, compute slower dimensions at reduced resolution
lXo := lHdr.dim[1]; //input X
setlength(img8x,lXo*lYi*lZi*4);
tempImgX := TFloat32s(img8x);
SetContrib(contrib, lXi, lXo, 1, xScale, fwidth, filter);
i := kIdx1;
for z := 0 to (lZi - 1) do begin
for y := 0 to (lYi-1) do begin
lineStart := kIdx1+ (lXi * y)+((lXi*lYi) * z);
for x := 0 to (lXo - 1) do begin
sum := 0.0;
for j := 0 to contrib^[x].n - 1 do begin
sum := sum + (contrib^[x].p^[j].weight * inImg[lineStart +contrib^[x].p^[j].pixel]);
end;
tempImgX[i] := sum;
i := i + 1;
end; //for X
end; //for Y
end; //for Z
for i := 0 to lXo - 1 do
FreeMem(contrib^[i].p);
FreeMem(contrib);
setlength( lImg8, 0);
//{$DEFINE XONLY}
finalImg := img8x;
out32 := tempImgX;
{$IFDEF XONLY}
goto 666;
{$ENDIF}
if ((lYi = lHdr.dim[2]) and (lZi = lHdr.dim[3])) then goto 666; //e.g. 1D image
//shrink in 2nd dimension
lYo := lHdr.dim[2]; //reduce Y output
setlength(img8y,lXo*lYo*lZi*4);
tempImgY := TFloat32s(img8y);
//SetLength( tempImgY,lXo*lYo*lZi); //8
SetContrib(contrib, lYi, lYo, lXo, yScale, fwidth, filter);
i := kIdx1;
for z := 0 to (lZi - 1) do begin
for y := 0 to (lYo - 1) do begin
for x := 0 to (lXo-1) do begin
lineStart := kIdx1+x+((lXo*lYi) * z);
sum := 0.0;
for j := 0 to contrib^[y].n - 1 do begin
//sum := sum + (contrib^[y].p^[j].weight * sourceLine^[contrib^[y].p^[j].pixel]);
sum := sum + (contrib^[y].p^[j].weight * tempImgX[lineStart +contrib^[y].p^[j].pixel] );
end;
tempImgY[i] := sum;
i := i + 1;
end; //for X
end; //for Y
end; //for Z
for i := 0 to lYo - 1 do
FreeMem(contrib^[i].p);
FreeMem(contrib);
SetLength( img8x,0);
//{$DEFINE YONLY}
finalImg := img8y;
out32 := tempImgY;
{$IFDEF YONLY}
goto 666;
{$ENDIF}
if (lZi = lHdr.dim[3]) then goto 666; //e.g. 2D image
//shrink the 3rd dimension
lZo := lHdr.dim[3]; //reduce Z output
setlength(img8z,lXo*lYo*lZo*4);
tempImgZ := TFloat32s(img8z);
//SetLength( tempImgZ,lXo*lYo*lZo); //8
SetContrib(contrib, lZi, lZo, (lXo*lYo), zScale, fwidth, filter);
i := kIdx1;
for z := 0 to (lZo - 1) do begin
for y := 0 to (lYo - 1) do begin
for x := 0 to (lXo-1) do begin
lineStart := kIdx1+x+(lXo * y);
sum := 0.0;
for j := 0 to contrib^[z].n - 1 do begin
sum := sum + (contrib^[z].p^[j].weight * tempImgY[lineStart +contrib^[z].p^[j].pixel] );
end;
tempImgZ[i] := sum;
i := i + 1;
end; //for X
end; //for Y
end; //for Z
for i := 0 to lZo - 1 do
FreeMem(contrib^[i].p);
FreeMem(contrib);
Setlength( img8y,0);
finalImg := img8z;
out32 := tempImgZ;
666:
lHdr.dim[1] := lXo;
lHdr.dim[2] := lYo;
lHdr.dim[3] := lZo;
for i := kIdx1 to ((lXo*lYo*lZo)-kEnd) do begin
//check image range - some interpolation can cause ringing
// e.g. if input range 0..1000 do not create negative values!
if out32[i] > mx then out32[i] := mx;
if out32[i] < mn then out32[i] := mn;
end;
lImg8 := finalImg;
end; //Resize32()
{$DEFINE RAWRESIZE} //native->FLOAT->FLOAT->Native
{$IFDEF RAWRESIZE}
//Native Resizing requires less RAM
{$IFDEF TEMPFLOAT} //native->float->native else native->native->native
procedure Resize8(var lHdr: TNIFTIhdr; var lImg8: TUInt8s; xScale, yScale, zScale, fwidth: single; filter: TFilterProc);
//rescales images with any dimension larger than lMaxDim to have a maximum dimension of maxdim...
label
666;
const
kIdx1 = 0; //0=arrays indexed from 0, 1= arrays indexed from 1
kEnd = 1 - kIdx1;
var
sum: double;
mx, mn: byte;
lineStart, x,y,z, lXo,lYo,lZo,lXi,lYi,lZi, i,j: int64;
contrib: PCListList;
finalImg,
img8x, img8y, img8z: TUInt8s;
tempImgX, tempImgY, tempImgZ, out32: TFloat32s;
begin
//bytesPerVox := 4;
lXi := lHdr.dim[1]; //input X
lYi := lHdr.dim[2]; //input Y
lZi := lHdr.dim[3]; //input Z
lXo := lXi; lYo := lYi; lZo := lZi; //output initially same as input
//inBytes := lHdr.dim[1]*lHdr.dim[2]*lHdr.dim[3]*bytesPerVox;
//find min/max values
mn := lImg8[0];
mx := mn;
for i := 0 to (lHdr.dim[1]*lHdr.dim[2]*lHdr.dim[3])-kEnd do begin
if lImg8[i] < mn then mn := lImg8[i];
if lImg8[i] > mx then mx := lImg8[i];
end;
//{$IFDEF UNIX}writeln(format('int8 range %d..%d', [mn, mx]));{$ENDIF}
Zoom(lHdr,xScale, yScale, zScale);
//shrink in 1st dimension : do X as these are contiguous = faster, compute slower dimensions at reduced resolution
lXo := lHdr.dim[1]; //input X
try
setlength(img8x,lXo*lYi*lZi*4);
except
{$IFDEF UNIX}writeln('Heap memory exhausted: reduce MaxVox');{$ENDIF}
end;
tempImgX := TFloat32s(img8x);
SetContrib(contrib, lXi, lXo, 1, xScale, fwidth, filter);
i := kIdx1;
for z := 0 to (lZi - 1) do begin
for y := 0 to (lYi-1) do begin
lineStart := kIdx1+ (lXi * y)+((lXi*lYi) * z);
for x := 0 to (lXo - 1) do begin
sum := 0.0;
for j := 0 to contrib^[x].n - 1 do begin
sum := sum + (contrib^[x].p^[j].weight * lImg8[lineStart +contrib^[x].p^[j].pixel]);
end;
tempImgX[i] := sum;
i := i + 1;
end; //for X
end; //for Y
end; //for Z
for i := 0 to lXo - 1 do
FreeMem(contrib^[i].p);
FreeMem(contrib);
setlength( lImg8, 0);
//{$DEFINE XONLY}
finalImg := img8x;
out32 := tempImgX;
{$IFDEF XONLY}
goto 666;
{$ENDIF}
if ((lYi = lHdr.dim[2]) and (lZi = lHdr.dim[3])) then goto 666; //e.g. 1D image
//shrink in 2nd dimension
lYo := lHdr.dim[2]; //reduce Y output
setlength(img8y,lXo*lYo*lZi*4);
tempImgY := TFloat32s(img8y);
//SetLength( tempImgY,lXo*lYo*lZi); //8
SetContrib(contrib, lYi, lYo, lXo, yScale, fwidth, filter);
i := kIdx1;
for z := 0 to (lZi - 1) do begin
for y := 0 to (lYo - 1) do begin
for x := 0 to (lXo-1) do begin
lineStart := kIdx1+x+((lXo*lYi) * z);
sum := 0.0;
for j := 0 to contrib^[y].n - 1 do begin
//sum := sum + (contrib^[y].p^[j].weight * sourceLine^[contrib^[y].p^[j].pixel]);
sum := sum + (contrib^[y].p^[j].weight * tempImgX[lineStart +contrib^[y].p^[j].pixel] );
end;
tempImgY[i] := sum;
i := i + 1;
end; //for X
end; //for Y
end; //for Z
for i := 0 to lYo - 1 do
FreeMem(contrib^[i].p);
FreeMem(contrib);
SetLength( img8x,0);
//{$DEFINE YONLY}
finalImg := img8y;
out32 := tempImgY;
{$IFDEF YONLY}
goto 666;
{$ENDIF}
if (lZi = lHdr.dim[3]) then goto 666; //e.g. 2D image
//shrink the 3rd dimension
lZo := lHdr.dim[3]; //reduce Z output
setlength(img8z,lXo*lYo*lZo*4);
tempImgZ := TFloat32s(img8z);
//SetLength( tempImgZ,lXo*lYo*lZo); //8
SetContrib(contrib, lZi, lZo, (lXo*lYo), zScale, fwidth, filter);
i := kIdx1;
for z := 0 to (lZo - 1) do begin
for y := 0 to (lYo - 1) do begin
for x := 0 to (lXo-1) do begin
lineStart := kIdx1+x+(lXo * y);
sum := 0.0;
for j := 0 to contrib^[z].n - 1 do begin
sum := sum + (contrib^[z].p^[j].weight * tempImgY[lineStart +contrib^[z].p^[j].pixel] );
end;
tempImgZ[i] := sum;
i := i + 1;
end; //for X
end; //for Y
end; //for Z
for i := 0 to lZo - 1 do
FreeMem(contrib^[i].p);
FreeMem(contrib);
Setlength( img8y,0);
finalImg := img8z;
out32 := tempImgZ;
666:
lHdr.dim[1] := lXo;
lHdr.dim[2] := lYo;
lHdr.dim[3] := lZo;
setlength(lImg8, lXo * lYo * lZo);
for i := kIdx1 to ((lXo*lYo*lZo)-kEnd) do begin
//check image range - some interpolation can cause ringing
// e.g. if input range 0..1000 do not create negative values!
if out32[i] > mx then lImg8[i] := mx
else if out32[i] < mn then lImg8[i] := mn
else lImg8[i] := round(out32[i])
end;
finalImg := nil;
end; //Resize8()
procedure Resize16(var lHdr: TNIFTIhdr; var lImg8: TUInt8s; xScale, yScale, zScale, fwidth: single; filter: TFilterProc);
//rescales images with any dimension larger than lMaxDim to have a maximum dimension of maxdim...
label
666;
const
kIdx1 = 0; //0=arrays indexed from 0, 1= arrays indexed from 1
kEnd = 1 - kIdx1;
var
sum: double;
mx, mn: Int16;
lineStart, x,y,z, lXo,lYo,lZo,lXi,lYi,lZi, i,j: int64;
contrib: PCListList;
finalImg,
img8x, img8y, img8z: TUInt8s;
img16: TInt16s;
tempImgX, tempImgY, tempImgZ, out32: TFloat32s;
begin
//bytesPerVox := 4;
lXi := lHdr.dim[1]; //input X
lYi := lHdr.dim[2]; //input Y
lZi := lHdr.dim[3]; //input Z
lXo := lXi; lYo := lYi; lZo := lZi; //output initially same as input
//inBytes := lHdr.dim[1]*lHdr.dim[2]*lHdr.dim[3]*bytesPerVox;
img16 := TInt16s(lImg8);
//find min/max values
mn := img16[0];
mx := mn;
for i := 0 to (lHdr.dim[1]*lHdr.dim[2]*lHdr.dim[3])-kEnd do begin
if img16[i] < mn then mn := img16[i];
if img16[i] > mx then mx := img16[i];
end;
//{$IFDEF UNIX}writeln(format('>int16 range %d..%d', [mn, mx]));{$ENDIF}
Zoom(lHdr,xScale, yScale, zScale);
//shrink in 1st dimension : do X as these are contiguous = faster, compute slower dimensions at reduced resolution
lXo := lHdr.dim[1]; //input X
//{$IFDEF UNIX}writeln(format('>resize x %d', [lXo*lYi*lZi*4]));{$ENDIF}
try
setlength(img8x,lXo*lYi*lZi*4);
except
{$IFDEF UNIX}On E: EOutOfMemory do writeln(format('X Heap memory exhausted: reduce MaxVox (%dx%dx%d)',[lXo,lYi,lZi]));{$ENDIF}
end;
tempImgX := TFloat32s(img8x);
SetContrib(contrib, lXi, lXo, 1, xScale, fwidth, filter);
i := kIdx1;
for z := 0 to (lZi - 1) do begin
for y := 0 to (lYi-1) do begin
lineStart := kIdx1+ (lXi * y)+((lXi*lYi) * z);
for x := 0 to (lXo - 1) do begin
sum := 0.0;
for j := 0 to contrib^[x].n - 1 do begin
sum := sum + (contrib^[x].p^[j].weight * img16[lineStart +contrib^[x].p^[j].pixel]);
end;
tempImgX[i] := sum;
i := i + 1;
end; //for X
end; //for Y
end; //for Z
for i := 0 to lXo - 1 do
FreeMem(contrib^[i].p);
FreeMem(contrib);
setlength( lImg8, 0);
finalImg := img8x;
out32 := tempImgX;
{$IFDEF XONLY}
goto 666;
{$ENDIF}
if ((lYi = lHdr.dim[2]) and (lZi = lHdr.dim[3])) then goto 666; //e.g. 1D image
//shrink in 2nd dimension
lYo := lHdr.dim[2]; //reduce Y output
//{$IFDEF UNIX}writeln(format('>resize y %d', [lXo*lYo*lZi*4]));{$ENDIF}
try
setlength(img8y,lXo*lYo*lZi*4);
except
{$IFDEF UNIX}writeln(format('Y Heap memory exhausted: reduce MaxVox (%dx%dx%d)',[lXo,lYo,lZi]));{$ENDIF}
end;
tempImgY := TFloat32s(img8y);
//SetLength( tempImgY,lXo*lYo*lZi); //8
SetContrib(contrib, lYi, lYo, lXo, yScale, fwidth, filter);
i := kIdx1;
for z := 0 to (lZi - 1) do begin
for y := 0 to (lYo - 1) do begin
for x := 0 to (lXo-1) do begin
lineStart := kIdx1+x+((lXo*lYi) * z);
sum := 0.0;
for j := 0 to contrib^[y].n - 1 do begin
//sum := sum + (contrib^[y].p^[j].weight * sourceLine^[contrib^[y].p^[j].pixel]);
sum := sum + (contrib^[y].p^[j].weight * tempImgX[lineStart +contrib^[y].p^[j].pixel] );
end;
tempImgY[i] := sum;
i := i + 1;
end; //for X
end; //for Y
end; //for Z
for i := 0 to lYo - 1 do
FreeMem(contrib^[i].p);
FreeMem(contrib);
SetLength( img8x,0);
//{$DEFINE YONLY}
finalImg := img8y;
out32 := tempImgY;
{$IFDEF YONLY}
goto 666;
{$ENDIF}
if (lZi = lHdr.dim[3]) then goto 666; //e.g. 2D image
//shrink the 3rd dimension
lZo := lHdr.dim[3]; //reduce Z output
//{$IFDEF UNIX}writeln(format('>resize z %d', [lXo*lYo*lZo*4]));{$ENDIF}
try
setlength(img8z,lXo*lYo*lZo*4);
except
{$IFDEF UNIX}writeln(format('Z Heap memory exhausted: reduce MaxVox (%dx%dx%d)',[lXo,lYo,lZo]));{$ENDIF}
end;
tempImgZ := TFloat32s(img8z);
//SetLength( tempImgZ,lXo*lYo*lZo); //8
SetContrib(contrib, lZi, lZo, (lXo*lYo), zScale, fwidth, filter);
i := kIdx1;
for z := 0 to (lZo - 1) do begin
for y := 0 to (lYo - 1) do begin
for x := 0 to (lXo-1) do begin
lineStart := kIdx1+x+(lXo * y);
sum := 0.0;
for j := 0 to contrib^[z].n - 1 do begin
sum := sum + (contrib^[z].p^[j].weight * tempImgY[lineStart +contrib^[z].p^[j].pixel] );
end;
tempImgZ[i] := sum;
i := i + 1;
end; //for X
end; //for Y
end; //for Z
for i := 0 to lZo - 1 do
FreeMem(contrib^[i].p);
FreeMem(contrib);
Setlength( img8y,0);
finalImg := img8z;
out32 := tempImgZ;
666:
lHdr.dim[1] := lXo;
lHdr.dim[2] := lYo;
lHdr.dim[3] := lZo;
setlength(lImg8, 2 * lXo * lYo * lZo);
img16:= TInt16s(lImg8);
for i := kIdx1 to ((lXo*lYo*lZo)-kEnd) do begin
//check image range - some interpolation can cause ringing
// e.g. if input range 0..1000 do not create negative values!
if out32[i] > mx then img16[i] := mx
else if out32[i] < mn then img16[i] := mn
else img16[i] := round(out32[i])
end;
finalImg := nil;
//{$IFDEF UNIX}writeln(format('>resize mn/mx %d %d', [mn, mx]));{$ENDIF}
end; //Resize16()
{$ELSE} //if native->float->native else native->native->native
function Round8(v: double; mn, mx: UInt8): UInt8;
begin
if (v <= mn) then exit(mn);
if (v >= mx) then exit(mx);
result := round(v);
end;
procedure Resize8(var lHdr: TNIFTIhdr; var lImg8: TUInt8s; xScale, yScale, zScale, fwidth: single; filter: TFilterProc);
//rescales images with any dimension larger than lMaxDim to have a maximum dimension of maxdim...
label
666;
const
kIdx1 = 0; //0=arrays indexed from 0, 1= arrays indexed from 1
kEnd = 1 - kIdx1;
var
sum: double;
mn, mx, mnT, mxT: byte;
lineStart, x,y,z, lXo,lYo,lZo,lXi,lYi,lZi, i,j: int64;
contrib: PCListList;
finalImg, img8x, img8y, img8z: TUInt8s;
begin
//bytesPerVox := 4;
lXi := lHdr.dim[1]; //input X
lYi := lHdr.dim[2]; //input Y
lZi := lHdr.dim[3]; //input Z
lXo := lXi; lYo := lYi; lZo := lZi; //output initially same as input
//inBytes := lHdr.dim[1]*lHdr.dim[2]*lHdr.dim[3]*bytesPerVox;
//find min/max values
mn := lImg8[0];
mx := mn;
mnT := 0;
mxT := 255;
for i := 0 to (lHdr.dim[1]*lHdr.dim[2]*lHdr.dim[3])-kEnd do begin
if lImg8[i] < mn then mn := lImg8[i];
if lImg8[i] > mx then mx := lImg8[i];
end;
//{$IFDEF UNIX}writeln(format('int8 range %d..%d', [mn, mx]));{$ENDIF}
Zoom(lHdr,xScale, yScale, zScale);
//shrink in 1st dimension : do X as these are contiguous = faster, compute slower dimensions at reduced resolution
lXo := lHdr.dim[1]; //input X
try
setlength(img8x,lXo*lYi*lZi);
except
{$IFDEF UNIX}writeln('Heap memory exhausted: reduce MaxVox');{$ENDIF}
end;
if ((lYi = lHdr.dim[2]) and (lZi = lHdr.dim[3])) then begin //final pass: bound by input extremes to avoid ringing
mnT := mn;
mxT := mx;
end;
SetContrib(contrib, lXi, lXo, 1, xScale, fwidth, filter);
i := kIdx1;
for z := 0 to (lZi - 1) do begin
for y := 0 to (lYi-1) do begin
lineStart := kIdx1+ (lXi * y)+((lXi*lYi) * z);
for x := 0 to (lXo - 1) do begin
sum := 0.0;
for j := 0 to contrib^[x].n - 1 do begin
sum := sum + (contrib^[x].p^[j].weight * lImg8[lineStart +contrib^[x].p^[j].pixel]);
end;
img8x[i] := round8(sum, mnT, mxT);
i := i + 1;
end; //for X
end; //for Y
end; //for Z
for i := 0 to lXo - 1 do
FreeMem(contrib^[i].p);
FreeMem(contrib);
setlength( lImg8, 0);
//{$DEFINE XONLY}
finalImg := img8x;
{$IFDEF XONLY}
goto 666;
{$ENDIF}
if ((lYi = lHdr.dim[2]) and (lZi = lHdr.dim[3])) then goto 666; //e.g. 1D image
//shrink in 2nd dimension
lYo := lHdr.dim[2]; //reduce Y output
setlength(img8y,lXo*lYo*lZi);
if (lZi = lHdr.dim[3]) then begin //final pass: bound by input extremes to avoid ringing
mnT := mn;
mxT := mx;
end;
//SetLength( tempImgY,lXo*lYo*lZi); //8
SetContrib(contrib, lYi, lYo, lXo, yScale, fwidth, filter);
i := kIdx1;
for z := 0 to (lZi - 1) do begin
for y := 0 to (lYo - 1) do begin
for x := 0 to (lXo-1) do begin
lineStart := kIdx1+x+((lXo*lYi) * z);
sum := 0.0;
for j := 0 to contrib^[y].n - 1 do begin
//sum := sum + (contrib^[y].p^[j].weight * sourceLine^[contrib^[y].p^[j].pixel]);
sum := sum + (contrib^[y].p^[j].weight * img8x[lineStart +contrib^[y].p^[j].pixel] );
end;
img8y[i] := round8(sum,mn,mx);
i := i + 1;
end; //for X
end; //for Y
end; //for Z
for i := 0 to lYo - 1 do
FreeMem(contrib^[i].p);
FreeMem(contrib);
SetLength( img8x,0);
//{$DEFINE YONLY}
finalImg := img8y;
{$IFDEF YONLY}
goto 666;
{$ENDIF}
if (lZi = lHdr.dim[3]) then goto 666; //e.g. 2D image
//shrink the 3rd dimension
lZo := lHdr.dim[3]; //reduce Z output
setlength(img8z,lXo*lYo*lZo);
//SetLength( tempImgZ,lXo*lYo*lZo); //8
SetContrib(contrib, lZi, lZo, (lXo*lYo), zScale, fwidth, filter);
i := kIdx1;
for z := 0 to (lZo - 1) do begin
for y := 0 to (lYo - 1) do begin
for x := 0 to (lXo-1) do begin
lineStart := kIdx1+x+(lXo * y);
sum := 0.0;
for j := 0 to contrib^[z].n - 1 do begin
sum := sum + (contrib^[z].p^[j].weight * img8y[lineStart +contrib^[z].p^[j].pixel] );
end;
img8z[i] := round8(sum,mn,mx);
i := i + 1;
end; //for X
end; //for Y
end; //for Z
for i := 0 to lZo - 1 do
FreeMem(contrib^[i].p);
FreeMem(contrib);
Setlength( img8y,0);
finalImg := img8z;
666:
lHdr.dim[1] := lXo;
lHdr.dim[2] := lYo;
lHdr.dim[3] := lZo;
lImg8 := finalImg;
//range check
(*for i := 0 to (lHdr.dim[1]*lHdr.dim[2]*lHdr.dim[3])-kEnd do begin
if lImg8[i] < mn then lImg8[i] := mn;
if lImg8[i] > mx then lImg8[i] := mx;
end; *)
end; //Resize8()
function Round16(v: double; mn, mx: Int16): Int16;
begin
if (v <= mn) then exit(mn);
if (v >= mx) then exit(mx);
result := round(v);
end;
procedure Resize16(var lHdr: TNIFTIhdr; var lImg8: TUInt8s; xScale, yScale, zScale, fwidth: single; filter: TFilterProc);
//rescales images with any dimension larger than lMaxDim to have a maximum dimension of maxdim...
label
666;
const
kIdx1 = 0; //0=arrays indexed from 0, 1= arrays indexed from 1
kEnd = 1 - kIdx1;
var
sum: double;
mn, mx, mnT, mxT: Int16;
lineStart, x,y,z, lXo,lYo,lZo,lXi,lYi,lZi, i,j: int64;
contrib: PCListList;
finalImg,
img8x, img8y, img8z: TUInt8s;
img16: TInt16s;
tempImgX, tempImgY, tempImgZ: TInt16s;
begin
//bytesPerVox := 4;
lXi := lHdr.dim[1]; //input X
lYi := lHdr.dim[2]; //input Y
lZi := lHdr.dim[3]; //input Z
lXo := lXi; lYo := lYi; lZo := lZi; //output initially same as input
//inBytes := lHdr.dim[1]*lHdr.dim[2]*lHdr.dim[3]*bytesPerVox;
img16 := TInt16s(lImg8);
//find min/max values
mnT := -32768;
mxT := 32767;
mn := img16[0];
mx := mn;
for i := 0 to (lHdr.dim[1]*lHdr.dim[2]*lHdr.dim[3])-kEnd do begin
if img16[i] < mn then mn := img16[i];
if img16[i] > mx then mx := img16[i];
end;
//{$IFDEF UNIX}writeln(format('>int16 range %d..%d', [mn, mx]));{$ENDIF}
Zoom(lHdr,xScale, yScale, zScale);
//shrink in 1st dimension : do X as these are contiguous = faster, compute slower dimensions at reduced resolution
lXo := lHdr.dim[1]; //input X
//{$IFDEF UNIX}writeln(format('>resize x %d', [lXo*lYi*lZi*4]));{$ENDIF}
try
setlength(img8x,lXo*lYi*lZi*2);
except
{$IFDEF UNIX}On E: EOutOfMemory do writeln(format('X Heap memory exhausted: reduce MaxVox (%dx%dx%d)',[lXo,lYi,lZi]));{$ENDIF}
end;
if ((lYi = lHdr.dim[2]) and (lZi = lHdr.dim[3])) then begin //final pass: bound by input extremes to avoid ringing
mnT := mn;
mxT := mx;
end;
tempImgX := TInt16s(img8x);
SetContrib(contrib, lXi, lXo, 1, xScale, fwidth, filter);
i := kIdx1;
for z := 0 to (lZi - 1) do begin
for y := 0 to (lYi-1) do begin
lineStart := kIdx1+ (lXi * y)+((lXi*lYi) * z);
for x := 0 to (lXo - 1) do begin
sum := 0.0;
for j := 0 to contrib^[x].n - 1 do begin
sum := sum + (contrib^[x].p^[j].weight * img16[lineStart +contrib^[x].p^[j].pixel]);
end;
tempImgX[i] := round16(sum,mnT,mxT);
i := i + 1;
end; //for X
end; //for Y
end; //for Z
for i := 0 to lXo - 1 do
FreeMem(contrib^[i].p);
FreeMem(contrib);
setlength( lImg8, 0);
finalImg := img8x;
//out16 := tempImgX;
{$IFDEF XONLY}
goto 666;
{$ENDIF}
if ((lYi = lHdr.dim[2]) and (lZi = lHdr.dim[3])) then goto 666; //e.g. 1D image
//shrink in 2nd dimension
lYo := lHdr.dim[2]; //reduce Y output
//{$IFDEF UNIX}writeln(format('>resize y %d', [lXo*lYo*lZi*4]));{$ENDIF}
try
setlength(img8y,lXo*lYo*lZi*2);
except
{$IFDEF UNIX}writeln(format('Y Heap memory exhausted: reduce MaxVox (%dx%dx%d)',[lXo,lYo,lZi]));{$ENDIF}
end;
if (lZi = lHdr.dim[3]) then begin //final pass: bound by input extremes to avoid ringing
mnT := mn;
mxT := mx;
end;
tempImgY := TInt16s(img8y);
//SetLength( tempImgY,lXo*lYo*lZi); //8
SetContrib(contrib, lYi, lYo, lXo, yScale, fwidth, filter);
i := kIdx1;
for z := 0 to (lZi - 1) do begin
for y := 0 to (lYo - 1) do begin
for x := 0 to (lXo-1) do begin
lineStart := kIdx1+x+((lXo*lYi) * z);
sum := 0.0;
for j := 0 to contrib^[y].n - 1 do begin
//sum := sum + (contrib^[y].p^[j].weight * sourceLine^[contrib^[y].p^[j].pixel]);
sum := sum + (contrib^[y].p^[j].weight * tempImgX[lineStart +contrib^[y].p^[j].pixel] );
end;
tempImgY[i] := round16(sum,mnT,mxT);
i := i + 1;
end; //for X
end; //for Y
end; //for Z
for i := 0 to lYo - 1 do
FreeMem(contrib^[i].p);
FreeMem(contrib);
SetLength( img8x,0);
//{$DEFINE YONLY}
finalImg := img8y;
//out16 := tempImgY;
{$IFDEF YONLY}
goto 666;
{$ENDIF}
if (lZi = lHdr.dim[3]) then goto 666; //e.g. 2D image
//shrink the 3rd dimension
lZo := lHdr.dim[3]; //reduce Z output
//{$IFDEF UNIX}writeln(format('>resize z %d', [lXo*lYo*lZo*4]));{$ENDIF}
try
setlength(img8z,lXo*lYo*lZo*2);
except
{$IFDEF UNIX}writeln(format('Z Heap memory exhausted: reduce MaxVox (%dx%dx%d)',[lXo,lYo,lZo]));{$ENDIF}
end;
tempImgZ := TInt16s(img8z);
SetContrib(contrib, lZi, lZo, (lXo*lYo), zScale, fwidth, filter);
i := kIdx1;
for z := 0 to (lZo - 1) do begin
for y := 0 to (lYo - 1) do begin
for x := 0 to (lXo-1) do begin
lineStart := kIdx1+x+(lXo * y);
sum := 0.0;
for j := 0 to contrib^[z].n - 1 do begin
sum := sum + (contrib^[z].p^[j].weight * tempImgY[lineStart +contrib^[z].p^[j].pixel] );
end;
tempImgZ[i] := round16(sum,mn,mx);
i := i + 1;
end; //for X
end; //for Y
end; //for Z
for i := 0 to lZo - 1 do
FreeMem(contrib^[i].p);
FreeMem(contrib);
Setlength( img8y,0);
finalImg := img8z;
//out16 := tempImgZ;
666:
lHdr.dim[1] := lXo;
lHdr.dim[2] := lYo;
lHdr.dim[3] := lZo;
lImg8 := finalImg;
//range check
(*img16:= TInt16s(lImg8);
for i := 0 to (lHdr.dim[1]*lHdr.dim[2]*lHdr.dim[3])-kEnd do begin
if img16[i] < mn then img16[i] := mn;
if img16[i] > mx then img16[i] := mx;
end; *)
//{$IFDEF UNIX}writeln(format('>resize mn/mx %d %d', [mn, mx]));{$ENDIF}
end; //Resize16()
{$ENDIF} //if native->float->native else native->native->native
{$ELSE}
procedure Resize8(var lHdr: TNIFTIhdr; var lImg8: TUInt8s; xScale, yScale, zScale, fwidth: single; filter: TFilterProc);