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Reverse Squared Euclidean Distance (RSED) computes the 2D maximal height surface created by placing an inverted parabola over each non-zero pixel of the input image, where the pixel's value is the height of the parabola. Viewed as a binary image (zero/not-zero) this is equivalent to buffering each non-zero input pixel by the square root of its value, in pixels.
Usage
Returns
Image.rsedTransform(neighborhood, units)
Image
Argument
Type
Details
this: image
Image
The input image.
neighborhood
Integer, default: 256
Neighborhood size in pixels.
units
String, default: "pixels"
The units of the neighborhood, currently only 'pixels' are supported.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-07-13 UTC."],[],["Reverse Squared Euclidean Distance (RSED) creates a 2D surface by placing inverted parabolas over non-zero pixels in an image, with pixel values determining parabola heights. It's analogous to buffering each non-zero pixel by the square root of its value. The `Image.rsedTransform` function takes an input image and computes the RSED transform. The function requires `neighborhood` size in pixels (default 256) and supports `\"pixels\"` as `units`. It returns the transformed `Image`.\n"],null,[]]