See: Description
| Interface | Description |
|---|---|
| DatasetOperation |
DatasetOperation - an operation on Datasets that returns a resultant Dataset.
|
| Class | Description |
|---|---|
| AbsoluteValueOperation |
AbsoluteValueOperation - returns absolute value of a Dataset's elements.
|
| BinarizeOperation |
BinarizeOperation - returns a new Dataset with binarized values: values less than the threshold are set to 0,
values greater than the threshold are set to 1.
|
| BlurOperation |
BlurOperation - blurs a Dataset.
|
| BoxBlur |
BoxBlur - fast implementation of a box blur based on its separability.
|
| CannyOperation |
CannyOperation - Canny Edge detection
Created by chris on 8/25/2016.
|
| ChainedDatasetOperation |
ChainedDatasetOperation - performs multiple DatasetOperations on an input.
|
| ConvolutionOperation |
ConvolutionOperation - performs convolution on a Dataset.
|
| DifferenceOfGaussiansOperation |
DifferenceOfGaussiansOperation - performs the Difference of Gaussians (DOG) operation on an input.
|
| FeatureScalingOperation |
FeatureScalingOperation - scales features for machine learning by subtracting the mean and dividing by the
standard deviation for each feature (index position).
|
| GaussianBlur |
GaussianBlur - a fast approximation of Gaussian Blur performed by multiple passes of a Box Blur.
|
| GaussianPyramidOperation |
GaussianPyramidOperation - repeated smoothing and subsampling of an input.
|
| HOGOperation |
HOGOperation - an implementation of the Histogram of Oriented Gradients (HOG) algorithm as outlined in
Dalal, Navneet, and Bill Triggs.
|
| NormalizeSignalOperation |
NormalizeSignalOperation - normalizes an input by subtracting the minimum value in the input and dividing by
the total range i.e.
|
| Otsu1dOperation |
Otsu's global thresholding algorithm (1D).
|
| PowerOfTwoOperation |
PowerOfTwoOperation - resizes an input as required such that its width and height are both powers of 2.
|
| PrewittOperation |
PrewittOperation - edge detection operation based on an approximate discrete differentiation.
|
| PyramidOperations |
PyramidOperations - general purpose pyramid operations.
|
| ScalingOperation |
ScalingOperation - scales a Dataset by substracting its mean and dividing by the standard deviation.
|
| ScharrOperation |
ScharrOperation - variation of the Sobel operator, an optimization minimizing weighted mean squared angular error
in the Fourier domain.
|
| SlidingWindowOperation |
SlidingWindowOperation - moves a "window" across a Dataset.
|
| SobelOperation |
SobelOperation - applies the Sobel operator to an input.
|
| UpscaleOperation |
UpscaleOperation - upscales an input by doubling its size and approximating (blurring).
|
| Enum | Description |
|---|---|
| CannyOperation.AutoThreshold |
Whether and how to attempt automatic calculation of the lower and upper thresholds.
|