AbstractWe consider Union-Find as an appropriate data structure to obtain two linear time algorithms for the segmentation of images. The linearity is obtained by restricting the order in which Union's are performed. For one algorithm the complexity bound is proven by amortizing the Find operations. For the other we use periodic updates to keep the relevant part of our Union-Find-tree of constant height. Both algorithms are generalized and lead to new linear strategies for Union-Find that are neither covered by the algorithm of Gabow and Tarjan (1984) nor by the one of Dillencourt et al. (1992)
Despite extensive study over the last four decades and numerous applications, no I/O-efficient algor...
Consider two types of instructions for manipulating disjoint sets. FIND(x) computes the name of the ...
The implementation of morphological connected set operators for image filtering and pattern recognit...
International audienceWe consider Union-Find as an appropriate data structure to obtain two linear t...
AbstractWe consider Union-Find as an appropriate data structure to obtain two linear time algorithms...
AbstractWe solve the Union-Find Problem (UF) efficiently for the case the input is restricted to sev...
We provide a general tool to improve the real time performance of a broad class of Union-Find algori...
Morphological attribute openings and closings and related operators are generalizations of the area ...
AbstractThis paper presents a linear-time algorithm for the special case of the disjoint set union p...
We present a modified union-find algorithm that represent the data in an array rather than the commo...
This paper presents two new strategies to speed up connected component labeling algorithms. The fir...
We address the problem of eciently performing operations on sets of segments. While current solution...
In this article we present an I/O-efficient algorithm for the batched (off-line) version of the unio...
Morphological attribute openings and closings and related operators are generalizations of the area ...
Union-Find is a family of algorithms that store disjoint sets of connected data. Allowing operations...
Despite extensive study over the last four decades and numerous applications, no I/O-efficient algor...
Consider two types of instructions for manipulating disjoint sets. FIND(x) computes the name of the ...
The implementation of morphological connected set operators for image filtering and pattern recognit...
International audienceWe consider Union-Find as an appropriate data structure to obtain two linear t...
AbstractWe consider Union-Find as an appropriate data structure to obtain two linear time algorithms...
AbstractWe solve the Union-Find Problem (UF) efficiently for the case the input is restricted to sev...
We provide a general tool to improve the real time performance of a broad class of Union-Find algori...
Morphological attribute openings and closings and related operators are generalizations of the area ...
AbstractThis paper presents a linear-time algorithm for the special case of the disjoint set union p...
We present a modified union-find algorithm that represent the data in an array rather than the commo...
This paper presents two new strategies to speed up connected component labeling algorithms. The fir...
We address the problem of eciently performing operations on sets of segments. While current solution...
In this article we present an I/O-efficient algorithm for the batched (off-line) version of the unio...
Morphological attribute openings and closings and related operators are generalizations of the area ...
Union-Find is a family of algorithms that store disjoint sets of connected data. Allowing operations...
Despite extensive study over the last four decades and numerous applications, no I/O-efficient algor...
Consider two types of instructions for manipulating disjoint sets. FIND(x) computes the name of the ...
The implementation of morphological connected set operators for image filtering and pattern recognit...