forked from Kitware/VTK
/
vtkImageMathematics.cxx
525 lines (478 loc) · 16 KB
/
vtkImageMathematics.cxx
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
/*=========================================================================
Program: Visualization Toolkit
Module: vtkImageMathematics.cxx
Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
All rights reserved.
See Copyright.txt or http://www.kitware.com/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notice for more information.
=========================================================================*/
#include "vtkImageMathematics.h"
#include "vtkObjectFactory.h"
#include "vtkImageData.h"
#include "vtkInformation.h"
#include "vtkInformationVector.h"
#include "vtkStreamingDemandDrivenPipeline.h"
#include <cmath>
vtkStandardNewMacro(vtkImageMathematics);
//----------------------------------------------------------------------------
vtkImageMathematics::vtkImageMathematics()
{
this->Operation = VTK_ADD;
this->ConstantK = 1.0;
this->ConstantC = 0.0;
this->DivideByZeroToC = 0;
this->SetNumberOfInputPorts(2);
}
//----------------------------------------------------------------------------
// The output extent is the intersection.
int vtkImageMathematics::RequestInformation (
vtkInformation * vtkNotUsed(request),
vtkInformationVector **inputVector,
vtkInformationVector *outputVector)
{
// get the info objects
vtkInformation* outInfo = outputVector->GetInformationObject(0);
vtkInformation *inInfo = inputVector[0]->GetInformationObject(0);
vtkInformation *inInfo2 = inputVector[1]->GetInformationObject(0);
int ext[6], ext2[6], idx;
inInfo->Get(vtkStreamingDemandDrivenPipeline::WHOLE_EXTENT(),ext);
// two input take intersection
if (this->Operation == VTK_ADD || this->Operation == VTK_SUBTRACT ||
this->Operation == VTK_MULTIPLY || this->Operation == VTK_DIVIDE ||
this->Operation == VTK_MIN || this->Operation == VTK_MAX ||
this->Operation == VTK_ATAN2)
{
if (!inInfo2)
{
vtkErrorMacro(<< "Second input must be specified for this operation.");
return 1;
}
inInfo2->Get(vtkStreamingDemandDrivenPipeline::WHOLE_EXTENT(),ext2);
for (idx = 0; idx < 3; ++idx)
{
if (ext2[idx*2] > ext[idx*2])
{
ext[idx*2] = ext2[idx*2];
}
if (ext2[idx*2+1] < ext[idx*2+1])
{
ext[idx*2+1] = ext2[idx*2+1];
}
}
}
outInfo->Set(vtkStreamingDemandDrivenPipeline::WHOLE_EXTENT(),ext,6);
return 1;
}
//----------------------------------------------------------------------------
template <class TValue, class TIvar>
void vtkImageMathematicsClamp(TValue &value, TIvar ivar, vtkImageData *data)
{
if (ivar < static_cast<TIvar>(data->GetScalarTypeMin()))
{
value = static_cast<TValue>(data->GetScalarTypeMin());
}
else if (ivar > static_cast<TIvar>(data->GetScalarTypeMax()))
{
value = static_cast<TValue>(data->GetScalarTypeMax());
}
else
{
value = static_cast<TValue>(ivar);
}
}
//----------------------------------------------------------------------------
// This templated function executes the filter for any type of data.
// Handles the one input operations
template <class T>
void vtkImageMathematicsExecute1(vtkImageMathematics *self,
vtkImageData *in1Data, T *in1Ptr,
vtkImageData *outData, T *outPtr,
int outExt[6], int id)
{
int idxR, idxY, idxZ;
int maxY, maxZ;
vtkIdType inIncX, inIncY, inIncZ;
vtkIdType outIncX, outIncY, outIncZ;
int rowLength;
unsigned long count = 0;
unsigned long target;
int op = self->GetOperation();
// find the region to loop over
rowLength =
(outExt[1] - outExt[0]+1)*in1Data->GetNumberOfScalarComponents();
// What a pain. Maybe I should just make another filter.
if (op == VTK_CONJUGATE)
{
rowLength = (outExt[1] - outExt[0] + 1);
}
maxY = outExt[3] - outExt[2];
maxZ = outExt[5] - outExt[4];
target = static_cast<unsigned long>((maxZ+1)*(maxY+1)/50.0);
target++;
// Get increments to march through data
in1Data->GetContinuousIncrements(outExt, inIncX, inIncY, inIncZ);
outData->GetContinuousIncrements(outExt, outIncX, outIncY, outIncZ);
int divideByZeroToC = self->GetDivideByZeroToC();
double doubleConstantk = self->GetConstantK();
// Avoid casts by making constants the same type as input/output
// Of course they must be clamped to a valid range for the scalar type
T constantk, constantc;
vtkImageMathematicsClamp(constantk, self->GetConstantK(), in1Data);
vtkImageMathematicsClamp(constantc, self->GetConstantC(), in1Data);
// Loop through output pixels
for (idxZ = 0; idxZ <= maxZ; idxZ++)
{
for (idxY = 0; idxY <= maxY; idxY++)
{
if (!id)
{
if (!(count%target))
{
self->UpdateProgress(count/(50.0*target));
}
count++;
}
for (idxR = 0; idxR < rowLength; idxR++)
{
// Pixel operaton
switch (op)
{
case VTK_INVERT:
if (*in1Ptr)
{
*outPtr = static_cast<T>(1.0 / *in1Ptr);
}
else
{
if ( divideByZeroToC )
{
*outPtr = constantc;
}
else
{
*outPtr = static_cast<T>(outData->GetScalarTypeMax());
}
}
break;
case VTK_SIN:
*outPtr = static_cast<T>(sin(static_cast<double>(*in1Ptr)));
break;
case VTK_COS:
*outPtr = static_cast<T>(cos(static_cast<double>(*in1Ptr)));
break;
case VTK_EXP:
*outPtr = static_cast<T>(exp(static_cast<double>(*in1Ptr)));
break;
case VTK_LOG:
*outPtr = static_cast<T>(log(static_cast<double>(*in1Ptr)));
break;
case VTK_ABS:
*outPtr = static_cast<T>(fabs(static_cast<double>(*in1Ptr)));
break;
case VTK_SQR:
*outPtr = static_cast<T>(*in1Ptr * *in1Ptr);
break;
case VTK_SQRT:
*outPtr = static_cast<T>(sqrt(static_cast<double>(*in1Ptr)));
break;
case VTK_ATAN:
*outPtr = static_cast<T>(atan(static_cast<double>(*in1Ptr)));
break;
case VTK_MULTIPLYBYK:
*outPtr = static_cast<T>(doubleConstantk * static_cast<double>( *in1Ptr));
break;
case VTK_ADDC:
*outPtr = constantc + *in1Ptr;
break;
case VTK_REPLACECBYK:
*outPtr = (*in1Ptr == constantc) ? constantk : *in1Ptr;
break;
case VTK_CONJUGATE:
outPtr[0] = in1Ptr[0];
outPtr[1] = static_cast<T>(-1.0*static_cast<double>(in1Ptr[1]));
// Why bother trying to figure out the continuous increments.
outPtr++;
in1Ptr++;
break;
}
outPtr++;
in1Ptr++;
}
outPtr += outIncY;
in1Ptr += inIncY;
}
outPtr += outIncZ;
in1Ptr += inIncZ;
}
}
//----------------------------------------------------------------------------
// This templated function executes the filter for any type of data.
// Handles the two input operations
template <class T>
void vtkImageMathematicsExecute2(vtkImageMathematics *self,
vtkImageData *in1Data, T *in1Ptr,
vtkImageData *in2Data, T *in2Ptr,
vtkImageData *outData, T *outPtr,
int outExt[6], int id)
{
int idxR, idxY, idxZ;
int maxY, maxZ;
vtkIdType inIncX, inIncY, inIncZ;
vtkIdType in2IncX, in2IncY, in2IncZ;
vtkIdType outIncX, outIncY, outIncZ;
int rowLength;
unsigned long count = 0;
unsigned long target;
int op = self->GetOperation();
int divideByZeroToC = self->GetDivideByZeroToC();
double constantc = self->GetConstantC();
// find the region to loop over
rowLength =
(outExt[1] - outExt[0]+1)*in1Data->GetNumberOfScalarComponents();
// What a pain. Maybe I should just make another filter.
if (op == VTK_COMPLEX_MULTIPLY)
{
rowLength = (outExt[1] - outExt[0]+1);
}
maxY = outExt[3] - outExt[2];
maxZ = outExt[5] - outExt[4];
target = static_cast<unsigned long>((maxZ+1)*(maxY+1)/50.0);
target++;
// Get increments to march through data
in1Data->GetContinuousIncrements(outExt, inIncX, inIncY, inIncZ);
in2Data->GetContinuousIncrements(outExt, in2IncX, in2IncY, in2IncZ);
outData->GetContinuousIncrements(outExt, outIncX, outIncY, outIncZ);
// Loop through output pixels
for (idxZ = 0; idxZ <= maxZ; idxZ++)
{
for (idxY = 0; !self->AbortExecute && idxY <= maxY; idxY++)
{
if (!id)
{
if (!(count%target))
{
self->UpdateProgress(count/(50.0*target));
}
count++;
}
for (idxR = 0; idxR < rowLength; idxR++)
{
// Pixel operation
switch (op)
{
case VTK_ADD:
*outPtr = *in1Ptr + *in2Ptr;
break;
case VTK_SUBTRACT:
*outPtr = *in1Ptr - *in2Ptr;
break;
case VTK_MULTIPLY:
*outPtr = *in1Ptr * *in2Ptr;
break;
case VTK_DIVIDE:
if (*in2Ptr)
{
*outPtr = *in1Ptr / *in2Ptr;
}
else
{
if ( divideByZeroToC )
{
*outPtr = static_cast<T>(constantc);
}
else
{
// *outPtr = (T)(*in1Ptr / 0.00001);
*outPtr = static_cast<T>(outData->GetScalarTypeMax());
}
}
break;
case VTK_MIN:
if (*in1Ptr < *in2Ptr)
{
*outPtr = *in1Ptr;
}
else
{
*outPtr = *in2Ptr;
}
break;
case VTK_MAX:
if (*in1Ptr > *in2Ptr)
{
*outPtr = *in1Ptr;
}
else
{
*outPtr = *in2Ptr;
}
break;
case VTK_ATAN2:
if (*in1Ptr == 0.0 && *in2Ptr == 0.0)
{
*outPtr = 0;
}
else
{
*outPtr = static_cast<T>(atan2(static_cast<double>(*in1Ptr),
static_cast<double>(*in2Ptr)));
}
break;
case VTK_COMPLEX_MULTIPLY:
outPtr[0] = in1Ptr[0] * in2Ptr[0] - in1Ptr[1] * in2Ptr[1];
outPtr[1] = in1Ptr[1] * in2Ptr[0] + in1Ptr[0] * in2Ptr[1];
// Why bother trying to figure out the continuous increments.
outPtr++;
in1Ptr++;
in2Ptr++;
break;
}
outPtr++;
in1Ptr++;
in2Ptr++;
}
outPtr += outIncY;
in1Ptr += inIncY;
in2Ptr += in2IncY;
}
outPtr += outIncZ;
in1Ptr += inIncZ;
in2Ptr += in2IncZ;
}
}
//----------------------------------------------------------------------------
// This method is passed a input and output datas, and executes the filter
// algorithm to fill the output from the inputs.
// It just executes a switch statement to call the correct function for
// the datas data types.
void vtkImageMathematics::ThreadedRequestData(
vtkInformation * vtkNotUsed( request ),
vtkInformationVector ** vtkNotUsed( inputVector ),
vtkInformationVector * vtkNotUsed( outputVector ),
vtkImageData ***inData,
vtkImageData **outData,
int outExt[6], int id)
{
void *inPtr1;
void *outPtr;
inPtr1 = inData[0][0]->GetScalarPointerForExtent(outExt);
outPtr = outData[0]->GetScalarPointerForExtent(outExt);
if (this->Operation == VTK_ADD || this->Operation == VTK_SUBTRACT ||
this->Operation == VTK_MULTIPLY || this->Operation == VTK_DIVIDE ||
this->Operation == VTK_MIN || this->Operation == VTK_MAX ||
this->Operation == VTK_ATAN2 || this->Operation == VTK_COMPLEX_MULTIPLY)
{
void *inPtr2;
if ( this->Operation == VTK_COMPLEX_MULTIPLY )
{
if (inData[0][0]->GetNumberOfScalarComponents() != 2 ||
inData[1][0]->GetNumberOfScalarComponents() != 2)
{
vtkErrorMacro("Complex inputs must have two components.");
return;
}
}
if (!inData[1] || ! inData[1][0])
{
vtkErrorMacro(
"ImageMathematics requested to perform a two input operation "
"with only one input\n");
return;
}
inPtr2 = inData[1][0]->GetScalarPointerForExtent(outExt);
// this filter expects that input is the same type as output.
if (inData[0][0]->GetScalarType() != outData[0]->GetScalarType())
{
vtkErrorMacro(<< "Execute: input1 ScalarType, "
<< inData[0][0]->GetScalarType()
<< ", must match output ScalarType "
<< outData[0]->GetScalarType());
return;
}
if (inData[1][0]->GetScalarType() != outData[0]->GetScalarType())
{
vtkErrorMacro(<< "Execute: input2 ScalarType, "
<< inData[1][0]->GetScalarType()
<< ", must match output ScalarType "
<< outData[0]->GetScalarType());
return;
}
// this filter expects that inputs that have the same number of components
if (inData[0][0]->GetNumberOfScalarComponents() !=
inData[1][0]->GetNumberOfScalarComponents())
{
vtkErrorMacro(<< "Execute: input1 NumberOfScalarComponents, "
<< inData[0][0]->GetNumberOfScalarComponents()
<< ", must match out input2 NumberOfScalarComponents "
<< inData[1][0]->GetNumberOfScalarComponents());
return;
}
switch (inData[0][0]->GetScalarType())
{
vtkTemplateMacro(
vtkImageMathematicsExecute2(this,inData[0][0],
static_cast<VTK_TT *>(inPtr1),
inData[1][0],
static_cast<VTK_TT *>(inPtr2),
outData[0],
static_cast<VTK_TT *>(outPtr), outExt,
id));
default:
vtkErrorMacro(<< "Execute: Unknown ScalarType");
return;
}
}
else
{
// this filter expects that input is the same type as output.
if (inData[0][0]->GetScalarType() != outData[0]->GetScalarType())
{
vtkErrorMacro(<< "Execute: input ScalarType, "
<< inData[0][0]->GetScalarType()
<< ", must match out ScalarType " << outData[0]->GetScalarType());
return;
}
if ( this->Operation == VTK_CONJUGATE )
{
if (inData[0][0]->GetNumberOfScalarComponents() != 2)
{
vtkErrorMacro("Complex inputs must have two components.");
return;
}
}
switch (inData[0][0]->GetScalarType())
{
vtkTemplateMacro(
vtkImageMathematicsExecute1(this, inData[0][0],
static_cast<VTK_TT *>(inPtr1),
outData[0], static_cast<VTK_TT *>(outPtr),
outExt, id));
default:
vtkErrorMacro(<< "Execute: Unknown ScalarType");
return;
}
}
}
//----------------------------------------------------------------------------
int vtkImageMathematics::FillInputPortInformation(
int port, vtkInformation* info)
{
if (port == 1)
{
info->Set(vtkAlgorithm::INPUT_IS_OPTIONAL(), 1);
}
info->Set(vtkAlgorithm::INPUT_REQUIRED_DATA_TYPE(), "vtkImageData");
return 1;
}
//----------------------------------------------------------------------------
void vtkImageMathematics::PrintSelf(ostream& os, vtkIndent indent)
{
this->Superclass::PrintSelf(os,indent);
os << indent << "Operation: " << this->Operation << "\n";
os << indent << "ConstantK: " << this->ConstantK << "\n";
os << indent << "ConstantC: " << this->ConstantC << "\n";
os << indent << "DivideByZeroToC: " <<
(this->DivideByZeroToC ? "On" : "Off") << "\n";
}