Results 1 to 10 of about 2,522,495 (283)
An Efficient Hardware-Oriented Single-Pass Approach for Connected Component Analysis [PDF]
Sensors, 2019 Connected Component Analysis (CCA) plays an important role in several image analysis and pattern recognition algorithms. Being one of the most time-consuming tasks in such applications, specific hardware accelerator for the CCA are highly desirable.
Fanny Spagnolo +2 more
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PACC: Large scale connected component computation on Hadoop and Spark. [PDF]
PLoS ONE, 2020 A connected component in a graph is a set of nodes linked to each other by paths. The problem of finding connected components has been applied to diverse graph analysis tasks such as graph partitioning, graph compression, and pattern recognition. Several
Ha-Myung Park +3 more
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Block-Based Connected-Component Labeling Algorithm Using Binary Decision Trees [PDF]
Sensors, 2015 In this paper, we propose a fast labeling algorithm based on block-based concepts. Because the number of memory access points directly affects the time consumption of the labeling algorithms, the aim of the proposed algorithm is to minimize neighborhood ...
Wan-Yu Chang +2 more
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Parallel Algorithm for Connected-Component Analysis Using CUDA
Algorithms, 2023 In this article, we introduce a parallel algorithm for connected-component analysis (CCA) on GPUs which drastically reduces the volume of data to transfer from GPU to the host.
Dominic Windisch +3 more
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An Efficient Connected Component Labeling Architecture for Embedded Systems
Journal of Low Power Electronics and Applications, 2018 Connected component analysis is one of the most fundamental steps used in several image processing systems. This technique allows for distinguishing and detecting different objects in images by assigning a unique label to all pixels that refer to the ...
Fanny Spagnolo +3 more
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Two Efficient Label-Equivalence-Based Connected-Component Labeling Algorithms for 3-D Binary Images [PDF]
IEEE Transactions on Image Processing, 2011 Lifeng He, Kenji Suzuki
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Unified framework for brain connectivity-based biomarkers in neurodegenerative disorders
Frontiers in Neuroscience, 2022 BackgroundBrain connectivity is useful for deciphering complex brain dynamics controlling interregional communication. Identifying specific brain phenomena based on brain connectivity and quantifying their levels can help explain or diagnose ...
Sung-Woo Kim +15 more
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Hypercube computing: Connected components [PDF]
The Journal of Supercomputing, 1989 The connected-components problem is used to illustrate the programming issues that arise when a multiple-instruction/multiple-data hypercube multicomputer is used. These issues include selection of algorithmic abstraction, problem partitioning and mapping, overlapping computation and communication, and load balancing.
J. Woo, S. Sahni
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An Efficient Connected-Component Labeling Algorithm for 3-D Binary Images
IEEE Open Journal of the Computer Society, 2023 Conventional voxel-based algorithms for labeling connected components in 3D binary images use the same mask to process all object voxels. To reduce the number of times that neighboring voxels are checked when object voxels are processed, we propose an ...
Xiao Zhao +4 more
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Brazilian Archives of Biology and Technology, 2021 The evolution of species is inevitably accompanied by the evolution of metabolic networks to adapt to different environments. The metabolic networks of different species were collected from the Kyoto Encyclopedia of Genes and Genomes (KEGG) website, and ...
Hao Luo, Tie Shen, Xiaoyao Xie
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