A distance transform, also known as distance map or distance field, is a derived representation of a digital image. The choice of the term depends on the...

of transforms in mathematics. Abel transform Aboodh transform Bateman transform Fourier transform Fourier cosine transform Fourier sine transform Fractional...

Abel transform is the integrated absorbance along a ray with closest distance y from the center of the flame, while the inverse Abel transform gives...

binary image is the distance transform. This gives the distance of every set pixel from the nearest unset pixel. The distance transform can be efficiently...

"locally maximum" in the distance transform. This is simply not the case, as even cursory comparison of a distance transform and the resulting skeleton...

In mathematics, the Fourier transform (FT) is an integral transform that takes a function as input then outputs another function that describes the extent...

flooding algorithm used in the construction of Voronoi diagrams and distance transforms. The JFA was introduced by Rong Guodong at an ACM symposium in 2006...

The Hough transform (/hʌf/) is a feature extraction technique used in image analysis, computer vision, pattern recognition, and digital image processing...

In mathematics, the Radon transform is the integral transform which takes a function f defined on the plane to a function Rf defined on the (two-dimensional)...

A transform fault or transform boundary, is a fault along a plate boundary where the motion is predominantly horizontal. It ends abruptly where it connects...

(2006). "Jump flooding in GPU with applications to Voronoi diagram and distance transform" (PDF). In Olano, Marc; Séquin, Carlo H. (eds.). Proceedings of the...

not change, or (ii) medial axis, by calculating local maxima in a distance transform of the given digitized object representation, or (B) into modified...

In image processing, the grassfire transform is the computation of the distance from a pixel to the border of a region. It can be described as "setting...

science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the...

In mathematics, the Laplace transform, named after Pierre-Simon Laplace (/ləˈplɑːs/), is an integral transform that converts a function of a real variable...

computer science, the flip distance between two triangulations of the same point set is the number of flips required to transform one triangulation into another...

Hadamard transform (also known as the Walsh–Hadamard transform, Hadamard–Rademacher–Walsh transform, Walsh transform, or Walsh–Fourier transform) is an...

counting the minimum number of operations required to transform one string into the other. Edit distances find applications in natural language processing...

In mathematics and signal processing, the Hilbert transform is a specific singular integral that takes a function, u(t) of a real variable and produces...

In mathematics, the Hankel transform expresses any given function f(r) as the weighted sum of an infinite number of Bessel functions of the first kind...

variance, then the Mahalanobis distance corresponds to standard Euclidean distance in the transformed space. The Mahalanobis distance is thus unitless, scale-invariant...

based on EDT (Digital) Sequential Euclidean distance transform, a distance transform using Euclidean distance, computed sequentially Single-ended double...

In statistics, a power transform is a family of functions applied to create a monotonic transformation of data using power functions. It is a data transformation...

operation are applied to the binary image to close gaps. Then, the distance transform operation is applied to the binary image to clear the pixels far from...

operations. Otherwise, the distance is the minimum of the three possible ways to do the transformation: If we can transform s[1..i] to t[1..j-1] in k operations...

scan Kirkpatrick–Seidel algorithm Quickhull Euclidean distance transform: computes the distance between every point in a grid and a discrete collection...

asymptotic variance of r is 1 for bivariate normal data. The behavior of this transform has been extensively studied since Fisher introduced it in 1915. Fisher...

number of errors that could have transformed one string into the other. In a more general context, the Hamming distance is one of several string metrics...

geometry, the Funk transform (also known as Minkowski–Funk transform, Funk–Radon transform or spherical Radon transform) is an integral transform defined by integrating...

interface – Direct manipulation interface – Disk storage – Distance transform – Distance map – Distance field – Docblock – DVD – DVI (TeX) – Dvorak keyboard...