public class DifferenceOfGaussianCUDA extends DifferenceOfGaussianNewPeakFinder
| Modifier and Type | Class and Description |
|---|---|
static class |
DifferenceOfGaussianCUDA.CUDAOutput |
DifferenceOfGaussian.SpecialPointconverter, dogImage, factory, image, outOfBoundsFactory, peaks| Constructor and Description |
|---|
DifferenceOfGaussianCUDA(CUDASeparableConvolution cuda,
double percentGPUMem,
List<CUDADevice> devList,
Image<FloatType> img1,
Img<FloatType> img2,
boolean accurate,
double[] sigma1,
double[] sigma2,
double minPeakValue,
double normalizationFactor) |
| Modifier and Type | Method and Description |
|---|---|
protected OutputAlgorithm<FloatType> |
getGaussianConvolution(double[] sigma,
int numThreads)
This method returns the
OutputAlgorithm that will compute the Gaussian Convolutions, more efficient versions can override this method |
static void |
main(String[] args) |
findPeaks, getSimplePeaks, processcheckInput, createVariable, getMinPeakValue, getNormalizedSubtraction, isPeakHighEnough, isSpecialPoint, setMinPeakValuegetComputeConvolutionsParalell, getDoGImage, getErrorMessage, getKeepDoGImage, getNumThreads, getPeaks, getProcessingTime, setComputeConvolutionsParalell, setKeepDoGImage, setNumThreads, setNumThreadspublic DifferenceOfGaussianCUDA(CUDASeparableConvolution cuda, double percentGPUMem, List<CUDADevice> devList, Image<FloatType> img1, Img<FloatType> img2, boolean accurate, double[] sigma1, double[] sigma2, double minPeakValue, double normalizationFactor)
protected OutputAlgorithm<FloatType> getGaussianConvolution(double[] sigma, int numThreads)
DifferenceOfGaussianReal1OutputAlgorithm that will compute the Gaussian Convolutions, more efficient versions can override this methodgetGaussianConvolution in class DifferenceOfGaussianReal1<FloatType>sigma - - the sigma of the convolutionnumThreads - - the number of threads for this convolutionpublic static void main(String[] args)
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