The Euclidean distance transform of a binary image is the function that assigns to every pixel the Euclidean distance to the background. The Euclidean feature transform is the function that assigns to every pixel the set of background pixels with this distance. We present an algorithm to compute the exact Euclidean feature transform sets in linear time. The algorithm is applicable in arbitrary dimensions. (c) 2006 Elsevier B.V. All rights reserved.</p
Fast Exact Euclidean Distance (FEED) transformation is introduced, starting from the inverse of the ...
Abstract We present a new Euclidean distance for images, which we call IMage Euclidean Distance (IME...
A new unique class of foldable distance transforms of digital images (DT) is introduced, baptized: F...
The Euclidean distance transform of a binary image is the function that assigns to every pixel the E...
A new general algorithm fur computing distance transforms of digital images is presented. The algori...
Abstract—A sequential algorithm is presented for computing the exact Euclidean distance transform (D...
In this thesis I mechanically verify the correctness and linear time complexity of the core of the E...
Given a binary image, Euclidean distance transform is to compute for each pixel the Euclidean distan...
In this paper, we propose an efficient algorithm, i.e., PBEDT, for short, to compute the exact Eucli...
A general algorithm for computing Euclidean skeletons of 3D data sets in linear time is presented. T...
A general algorithm for computing euclidean skeletons of 2D and 3D data sets in linear time is prese...
A new general algorithm for computing distance transforms of digital images is presented. The algori...
In this paper, we propose an efficient algorithm for com-puting the Euclidean distance transform of ...
In this paper we prove an equivalence relation between the distance transform of a binary image, whe...
In this paper we prove an equivalence relation between the distance transform of a binary image, whe...
Fast Exact Euclidean Distance (FEED) transformation is introduced, starting from the inverse of the ...
Abstract We present a new Euclidean distance for images, which we call IMage Euclidean Distance (IME...
A new unique class of foldable distance transforms of digital images (DT) is introduced, baptized: F...
The Euclidean distance transform of a binary image is the function that assigns to every pixel the E...
A new general algorithm fur computing distance transforms of digital images is presented. The algori...
Abstract—A sequential algorithm is presented for computing the exact Euclidean distance transform (D...
In this thesis I mechanically verify the correctness and linear time complexity of the core of the E...
Given a binary image, Euclidean distance transform is to compute for each pixel the Euclidean distan...
In this paper, we propose an efficient algorithm, i.e., PBEDT, for short, to compute the exact Eucli...
A general algorithm for computing Euclidean skeletons of 3D data sets in linear time is presented. T...
A general algorithm for computing euclidean skeletons of 2D and 3D data sets in linear time is prese...
A new general algorithm for computing distance transforms of digital images is presented. The algori...
In this paper, we propose an efficient algorithm for com-puting the Euclidean distance transform of ...
In this paper we prove an equivalence relation between the distance transform of a binary image, whe...
In this paper we prove an equivalence relation between the distance transform of a binary image, whe...
Fast Exact Euclidean Distance (FEED) transformation is introduced, starting from the inverse of the ...
Abstract We present a new Euclidean distance for images, which we call IMage Euclidean Distance (IME...
A new unique class of foldable distance transforms of digital images (DT) is introduced, baptized: F...
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