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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

  • skimage.transform

Referenced by