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Update GeodesicSegmentation CLI #1496
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AlexanderGetka-cbica
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Original file line number | Diff line number | Diff line change | ||||
---|---|---|---|---|---|---|
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@@ -309,15 +309,28 @@ int main(int argc, char **argv) | |||||
unsigned short threshold = 0; | ||||||
if (parser.isPresent("t")) | ||||||
{ | ||||||
std::string temp; | ||||||
int temp; | ||||||
parser.getParameterValue("t", temp); | ||||||
threshold = std::atoi(temp.c_str()); | ||||||
threshold = temp; | ||||||
} | ||||||
|
||||||
std::cout << "Reading inputs.\n"; | ||||||
using ImageType = itk::Image< float, 3 >; | ||||||
using ImageTypeGeodesic = itk::Image < short, 3 >; | ||||||
auto inputImage = cbica::ReadImage< ImageType >(inputFile); | ||||||
auto mask = cbica::ReadImage< ImageType >(drawingFile); | ||||||
using CastFilterType = itk::CastImageFilter<ImageType, ImageTypeGeodesic>; | ||||||
auto castFilter = CastFilterType::New(); | ||||||
castFilter->SetInput(inputImage); | ||||||
castFilter->Update(); | ||||||
auto convertedInputImage = castFilter->GetOutput(); | ||||||
using RescaleFilterType = itk::RescaleIntensityImageFilter<ImageTypeGeodesic, ImageTypeGeodesic>; | ||||||
auto rescaleFilter = RescaleFilterType::New(); | ||||||
rescaleFilter->SetInput(convertedInputImage); | ||||||
rescaleFilter->SetOutputMinimum(0); | ||||||
rescaleFilter->SetOutputMaximum(255); | ||||||
rescaleFilter->Update(); | ||||||
convertedInputImage = rescaleFilter->GetOutput(); | ||||||
|
||||||
VectorVectorDouble Indices; | ||||||
typedef itk::ImageRegionIteratorWithIndex <ImageType> IteratorType; | ||||||
|
@@ -338,15 +351,15 @@ int main(int argc, char **argv) | |||||
} | ||||||
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||||||
std::cout << "Performing Geodesic map estimation.\n"; | ||||||
GeodesicSegmentation< ImageType > segmentationClass; | ||||||
auto geosOutput = segmentationClass.Run/*< ImageType >*/(inputImage, Indices); | ||||||
GeodesicSegmentation< ImageTypeGeodesic > segmentationClass; | ||||||
auto geosOutput = segmentationClass.Run/*< ImageType >*/(convertedInputImage, Indices); | ||||||
ImageType::PixelType maxVal; | ||||||
|
||||||
if (normalize) | ||||||
{ | ||||||
std::cout << "Performing normalization.\n"; | ||||||
maxVal = 255; | ||||||
auto rescaleFilter = itk::RescaleIntensityImageFilter< ImageType >::New(); | ||||||
auto rescaleFilter = itk::RescaleIntensityImageFilter< ImageTypeGeodesic >::New(); | ||||||
rescaleFilter->SetInput(geosOutput); | ||||||
rescaleFilter->SetOutputMinimum(0); | ||||||
rescaleFilter->SetOutputMaximum(maxVal); | ||||||
|
@@ -355,7 +368,7 @@ int main(int argc, char **argv) | |||||
} | ||||||
else | ||||||
{ | ||||||
auto calculator = itk::MinimumMaximumImageCalculator< ImageType >::New(); | ||||||
auto calculator = itk::MinimumMaximumImageCalculator< ImageTypeGeodesic >::New(); | ||||||
calculator->SetImage(geosOutput); | ||||||
calculator->ComputeMaximum(); | ||||||
maxVal = calculator->GetMaximum(); | ||||||
|
@@ -364,18 +377,18 @@ int main(int argc, char **argv) | |||||
if (threshold != 0) | ||||||
{ | ||||||
std::cout << "Performing threshold with threshold = " << threshold << ".\n"; | ||||||
auto thresholder = itk::BinaryThresholdImageFilter< ImageType, ImageType >::New(); | ||||||
auto thresholder = itk::BinaryThresholdImageFilter< ImageTypeGeodesic, ImageTypeGeodesic >::New(); | ||||||
thresholder->SetInput(geosOutput); | ||||||
thresholder->SetOutsideValue(0); | ||||||
thresholder->SetInsideValue(1); | ||||||
thresholder->SetLowerThreshold(threshold); | ||||||
thresholder->SetUpperThreshold(maxVal); | ||||||
thresholder->SetLowerThreshold(0); | ||||||
thresholder->SetUpperThreshold(threshold); | ||||||
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Suggested change
|
||||||
thresholder->Update(); | ||||||
geosOutput = thresholder->GetOutput(); | ||||||
} | ||||||
|
||||||
std::cout << "Writing Output File:\n" + outputFile + "\n"; | ||||||
cbica::WriteImage< ImageType >(geosOutput, outputFile); | ||||||
cbica::WriteImage< ImageTypeGeodesic >(geosOutput, outputFile); | ||||||
} | ||||||
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||||||
std::cout << "Finished Successfully.\n"; | ||||||
|
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This should use
threshold
instead of a hard-coded0
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Your suggestion is what it was before. The geodesic distance map that is created before the thresholding step is represented as increasing values away from the original segmentation/seeds. So setting it as you suggest will yield a 1 label in everything outside the predicted region of interest.
I tested this and compared to the GUI version with my changes, and this makes them consistent.