bundles / skimage latest / skimage / transform
module
skimage.transform
source: /dev/scikit-image/src/skimage/transform/__init__.py :0
Summary
Geometric and other transformations, e.g., rotations, Radon transform.
Extended Summary
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.
Additional content
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.
Aliases
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skimage.transform