getMeanSeedLocal(ImageProcessor, int) | | 65% | | 75% | 5 | 11 | 11 | 50 | 0 | 1 |
solver(Seeds, RealMatrix[]) | | 89% | | 68% | 12 | 26 | 15 | 110 | 0 | 1 |
rollNextSweep(ProbabilityMaps) | | 66% | | 66% | 2 | 4 | 5 | 29 | 0 | 1 |
run(Seeds) | | 72% | | 71% | 3 | 8 | 5 | 22 | 0 | 1 |
RandomWalkSegmentation(RealMatrix, RandomWalkOptions) | | 0% | | n/a | 1 | 1 | 9 | 9 | 1 | 1 |
RandomWalkSegmentation(ImageProcessor, RandomWalkOptions) | | 76% | | 25% | 2 | 3 | 1 | 11 | 0 | 1 |
lambda$solver$1(int, double[][], double, double[][], double[][], double[][], double[][], double[][], double[][], double[][], double[][], AtomicInteger, int) | | 93% | | 50% | 2 | 3 | 2 | 8 | 0 | 1 |
computeweights(RealMatrix, RealMatrix) | | 92% | | 75% | 2 | 5 | 2 | 15 | 0 | 1 |
circshift(RealMatrix, int) | | 96% | | 80% | 1 | 5 | 1 | 26 | 0 | 1 |
compare(ProbabilityMaps) | | 96% | | 72% | 5 | 10 | 2 | 22 | 0 | 1 |
setMaxTheoreticalIntSqr(ImageProcessor) | | 63% | | 50% | 1 | 2 | 2 | 5 | 0 | 1 |
flatten(ProbabilityMaps, RandomWalkSegmentation.SeedTypes) | | 96% | | 91% | 1 | 7 | 1 | 16 | 0 | 1 |
getProbabilityMaps() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
precomputeGradients() | | 98% | | 75% | 1 | 3 | 1 | 22 | 0 | 1 |
flattenInd(double[][][]) | | 100% | | 100% | 0 | 6 | 0 | 13 | 0 | 1 |
computeRelErr(double[][], double[][]) | | 100% | | 100% | 0 | 4 | 0 | 13 | 0 | 1 |
getDiffusionConst(RealMatrix, RealMatrix, RealMatrix, RealMatrix, RealMatrix, RealMatrix) | | 100% | | 100% | 0 | 4 | 0 | 10 | 0 | 1 |
setValues(RealMatrix, List, ArrayRealVector) | | 100% | | 100% | 0 | 5 | 0 | 11 | 0 | 1 |
getValues(RealMatrix, List) | | 100% | | 100% | 0 | 2 | 0 | 6 | 0 | 1 |
getMinofDotProduct(RealMatrix, RealMatrix) | | 100% | | n/a | 0 | 1 | 0 | 3 | 0 | 1 |
getSqrdDiffIntensity(RealMatrix, RealMatrix) | | 100% | | n/a | 0 | 1 | 0 | 3 | 0 | 1 |
getMeanSeedGlobal(List) | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
static {...} | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
lambda$solver$0(List) | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |