skimage2.transform

Warning

This module is part of the experimental skimage2 namespace and is subject to change without notice. Do not use it in production code. See the migration guide for more details.

Geometric and other transformations, e.g., rotations, Radon transform.

• Geometric transformation: These transforms change the shape or position of an image. They are useful for tasks such as image registration, alignment, and geometric correction. Examples: AffineTransform, ProjectiveTransform, EuclideanTransform.

• Image resizing and rescaling: These transforms change the size or resolution of an image. They are useful for tasks such as down-sampling an image to reduce its size or up-sampling an image to increase its resolution. Examples: resize(), rescale().

• Feature detection and extraction: These transforms identify and extract specific features or patterns in an image. They are useful for tasks such as object detection, image segmentation, and feature matching. Examples: hough_circle(), pyramid_expand(), radon().

• Image transformation: These transforms change the appearance of an image without changing its content. They are useful for tasks such a creating image mosaics, applying artistic effects, and visualizing image data. Examples: warp(), iradon().

downscale_local_mean	Down-sample N-dimensional image by local averaging.
estimate_transform	Estimate 2D geometric transformation parameters.
frt2	Compute the 2-dimensional finite Radon transform (FRT) for the input array.
hough_circle	Perform a circular Hough transform.
hough_circle_peaks	Return peaks in a circle Hough transform.
hough_ellipse	Perform an elliptical Hough transform.
hough_line	Perform a straight line Hough transform.
hough_line_peaks	Return peaks in a straight line Hough transform.
ifrt2	Compute the 2-dimensional inverse finite Radon transform (iFRT) for the input array.
integral_image	Integral image / summed area table.
integrate	Use an integral image to integrate over a given window.
iradon	Inverse radon transform.
iradon_sart	Inverse radon transform.
matrix_transform	Apply 2D matrix transform.
order_angles_golden_ratio	Order angles to reduce the amount of correlated information in subsequent projections.
probabilistic_hough_line	Return lines from a progressive probabilistic line Hough transform.
pyramid_expand	Upsample and then smooth image.
pyramid_gaussian	Yield images of the Gaussian pyramid formed by the input image.
pyramid_laplacian	Yield images of the laplacian pyramid formed by the input image.
pyramid_reduce	Smooth and then downsample image.
radon	Calculates the radon transform of an image given specified projection angles.
rescale	Scale image by a certain factor.
resize	Resize image to match a certain size.
resize_local_mean	Resize an array with the local mean / bilinear scaling.
rotate	Rotate image by a certain angle around its center.
swirl	Perform a swirl transformation.
warp	Warp an image according to a given coordinate transformation.
warp_coords	Build the source coordinates for the output of a 2-D image warp.
warp_polar	Remap image to polar or log-polar coordinates space.
AffineTransform	Affine transformation.
EssentialMatrixTransform	Essential matrix transformation.
EuclideanTransform	Euclidean transformation, also known as a rigid transform.
FundamentalMatrixTransform	Fundamental matrix transformation.
PiecewiseAffineTransform	Piecewise affine transformation.
PolynomialTransform	2D polynomial transformation.
ProjectiveTransform	Projective transformation.
SimilarityTransform	Similarity transformation.
ThinPlateSplineTransform	Thin-plate spline transformation.