fullKernel is a square convolution kernel.

Affine is a 3x3 2D affine transform matrix. M(i,j) is Affine[i*3+j].

BlurOptions are the blurring parameters. StdDev is the standard deviation of the normal, higher is blurrier. Size is the size of the kernel. If zero,

Cascade is a degenerate tree of Haar-like classifiers.

CascadeStage is a cascade of classifiers.

Classifier is a set of features with a threshold.

Feature is a Haar-like feature.

Gray is a fast-path interpolation implementation for image.Gray.

Interp interpolates an image's color at fractional co-ordinates.

Kernel is a square matrix that defines a convolution.

RGBA is a fast-path interpolation implementation for image.RGBA. It is common for an Interp to also implement RGBA.

RotateOptions are the rotation parameters. Angle is the angle, in radians, to rotate the image clockwise.

SeparableKernel is a linearly separable, square convolution kernel. X and Y are the per-axis weights. Each slice must be the same length, and have an

integral is an image.Image-like structure that stores the cumulative sum of the preceding pixels. This allows for O(1) summation of any rectangular re

projector allows projecting from a source Rectangle onto a target Rectangle.