| Package | Description |
|---|---|
| spim.process.cuda | |
| spim.process.interestpointdetection |
| Modifier and Type | Method and Description |
|---|---|
static boolean |
CUDASeparableConvolutionFunctions.gauss(float[] img,
int[] dim,
double[] sigma,
CUDASeparableConvolutionFunctions.OutOfBounds oobs,
float oobsValue,
CUDASeparableConvolution cuda,
int cudaDeviceId)
Compute Gaussian convolution
|
static boolean |
CUDASeparableConvolutionFunctions.gauss(float[] img,
int[] dim,
double sigma,
CUDASeparableConvolutionFunctions.OutOfBounds oobs,
float oobsValue,
CUDASeparableConvolution cuda,
int cudaDeviceId)
Compute Gaussian convolution
|
| Constructor and Description |
|---|
CUDASeparableConvolutionFunctions(CUDASeparableConvolution cuda,
int cudaDeviceId) |
| Modifier and Type | Method and Description |
|---|---|
static ArrayList<InterestPoint> |
ProcessDOG.compute(CUDASeparableConvolution cuda,
List<CUDADevice> deviceList,
boolean accurateCUDA,
double percentGPUMem,
Image<FloatType> img,
Img<FloatType> imglib2img,
float sigma,
float threshold,
int localization,
double imageSigmaX,
double imageSigmaY,
double imageSigmaZ,
boolean findMin,
boolean findMax,
double minIntensity,
double maxIntensity,
boolean keepIntensity) |
| Constructor and Description |
|---|
CUDAOutput(Img<FloatType> img,
double percentGPUMem,
CUDADevice cudaDevice,
CUDASeparableConvolution cuda,
boolean accurate,
double[] sigma) |
DifferenceOfGaussianCUDA(CUDASeparableConvolution cuda,
double percentGPUMem,
List<CUDADevice> devList,
Image<FloatType> img1,
Img<FloatType> img2,
boolean accurate,
double[] sigma1,
double[] sigma2,
double minPeakValue,
double normalizationFactor) |
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