Geometric Transforms

Geometric Transforms

ice.Image LinearTransform(matrix)

matrix: 3x3 transformation matrix (list).

This operation performs all coordinate transformations expressible as a 3x3 matrix. These include affine transformations (in which parallel lines stay parallel), translations and non-affine perspective transformations.

The resampling filter is a Catmull-Rom bicubic, whose width is calculated appropriately.

In the example below, i is of type ice.Image.

matrix = [1, 0.3, 0, 0.1, 1, 0, 0, 0, 1.0] result = i.LinearTransform(matrix)

ice.Image Translate(point, filterType)

point: Translate by a specified number of pixels (tuple)

filter: resampling filter to use (int). Can be one of:

• ice.constants.FILTER_BILINEAR
• ice.constants.FILTER_BSPLINE
• ice.constants.FILTER_CATROM
• ice.constants.FILTER_LANCZOS
• ice.constants.FILTER_MITCHELL_NETRAVALI
• ice.constants.FILTER_POINTSAMPLE

Defaults to FILTER_CATROM (CatmullRom).

Translate an image with appropriate resampling. Integral pixel translate operations are automatically optimized.

filter = ice.constants.FILTER_BILINEAR amount = (23.5. 60.6) result = orig.Translate(amount, filter)

This is a special case of LinearTransform.

ice.Image Move(point)

point: Move by a specified number of pixels (tuple)

Returns a copy of the operand image with its world coordinates moved by an integral ammount. The copy will share data with the source, no resampling will be performed

ice.Image Scale(scale, filter)

scale: Scale by specified factors in x and y (list)

filter: resampling filter to use (int). Defaults to CatmullRom.

Geometrically scale an image with appropriate resampling.

filter = ice.constants.FILTER_LANCZOS amount = [0.5. 0.5] result = orig.Scale(amount, filter)

This is a special case of LinearTransform.

ice.Image Rotate(degrees, filter)

degrees: Angle of rotation in degrees (float)

filter: resampling filter to use (int). Defaults to CatmullRom

Rotate an image about (0, 0). The angle of rotation is measured counterclockwise.

This is a special case of LinearTransform.

ice.Image Resize(scale)

scale: Scale by specified factors in x and y (list)

Fast geometric scaling using only point-sampling. Useful for previews and interactive display.

ice.Image Reformat(newBox, preserveAR, crop, anamorph)

newBox: Desired box (list).

preserveAR: Should the aspect ratio be preserved (bool)? default = true.

crop: Should the image be cropped to preserve aspect ratio (bool)? default = true.

anamorph: If the final image is destined for anamorphic display, the "stretch factor" (float). default = 1.0.

This is an operation that fulfills a common need: that of changing the size of an image prior to saving. The arguments are self-explanatory: letter- or window-boxing is automatically performed if aspect ratio is to be preserved and cropping is not enabled. The anamorph argument is unity when no anamorphic display is intended: larger than unity when it is.

Note: This is not a "native" operation: it internally comprises other operations arranged to yield the result desired.

ice.Image Flip(x, y, transpose)

x: Flip in x (bool)?

y: Flip in y (bool)?

transpose: Transpose the image (bool)?

This operation is optimized to perform the eight possible "unity-scale" transformations. These are illustrated below.

# No-op result = m1_1.Flip(False, False, False)

# Transpose axes result = m1_1.Flip(False, False, True)

# Flip in Y result = m1_1.Flip(False, True, False)

# Flip in Y and transpose axes result = m1_1.Flip(False, True, True)

# Flip in X result = m1_1.Flip(True, False, False)

# Flip in X and transpose axes result = m1_1.Flip(True, False, True)

# Flip in X and Y result = m1_1.Flip(True, True, False)

# Flip in X and Y and transpose result = m1_1.Flip(True, True, True)

ice.Image DisplacementWarp(warpImg, minMax, filterType, filterScale)

warpImg: Displacement image (ice.Image)
minMax: Displacements corresponding to 0 and 1 (list). defaults to [0, 1].
filterType: Filter type. Defaults to CatmullRom.
filterScale: Scale equivalent for filter width (float) defaults to 1.0

General displacement warp operation. WarpImg is a two-channel vector field containing the offset of the source pixel for each result pixel. The actual offset is given by:

 O' = o * (max − min) + min 

The type of the filter is normally best set to FILTER_CATROM. Since it is not possible to analytically determine a single best filter width, filterScale should be chosen to yield the best possible combination of sharpness and anti-aliasing. 1.0 is a good place to start: smaller values yield wider filters (and less sharpness).

Original	Displacement Image	Warped Image
minMax = [0, 10] filter = ice.constants.FILTER_MITCHELL_NETRAVALI fScale = 1.0 result = fruit.DisplacementWarp(disp, minMax, filter, fScale)