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Image processing; Image analysis; Mathematical morphology; Connected
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Fast Connected-component Labeling Based on Sequential Local Operations
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IEEE DOI
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0506
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0506
How to actually do it.
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A Comparative Study of Two Useful Discrete-Valued Random Fields for the
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Earlier: A1, A2, Only:
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0311
Include internal contours.
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Hu, Q.M.[Qing-Mao],
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0508
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Grayscale image connected components segmentation,
US_Patent6,898,314, May 24, 2005
WWW Link.
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0505
Martín-Herrero, J.,
Hybrid object labelling in digital images,
MVA(18), No. 1, February 2007, pp. 1-15.
Springer DOI
0702
Recursive connected component labeling.
BibRef
Wilkinson, M.H.F.[Michael H.F.],
Attribute-space connectivity and connected filters,
IVC(25), No. 4, April 2007, pp. 426-435.
Elsevier DOI
0702
Mathematical morphology; Connectivity; Hyperconnectivity;
Multi-scale analysis; Connected filters; Perceptual grouping
BibRef
Wilkinson, M.H.F.[Michael H.F.],
Gao, H.[Hui],
Hesselink, W.H.[Wim H.],
Jonker, J.E.[Jan-Eppo],
Meijster, A.[Arnold],
Concurrent Computation of Attribute Filters on Shared Memory Parallel
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PAMI(30), No. 10, October 2008, pp. 1800-1813.
IEEE DOI
0810
Applied to CT angiograms.
Morphology implementation.
See also Attribute Openings, Thinnings, and Granulometries.
See also Antiextensive Connected Operators for Image And Sequence Processing.
BibRef
Kazemier, J.J.[Jan J.],
Ouzounis, G.K.[Georgios K.],
Wilkinson, M.H.F.[Michael H. F.],
Connected Morphological Attribute Filters on Distributed Memory
Parallel Machines,
ISMM17(357-368).
Springer DOI
1706
BibRef
Gazagnes, S.,
Wilkinson, M.H.F.[Michael H.F.],
Distributed Connected Component Filtering and Analysis in 2D and 3D
Tera-Scale Data Sets,
IP(30), 2021, pp. 3664-3675.
IEEE DOI
2103
Vegetation, Dynamic range, Tools, Distributed databases, Merging,
Forestry, Filtering, Mathematical morphology, component-Trees,
high-performance computing
BibRef
Allili, M.[Madjid],
Corriveau, D.[David],
Derivière, S.[Sara],
Kaczynski, T.[Tomasz],
Trahan, A.[Anik],
Discrete Dynamical System Framework for Construction of Connections
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JMIV(28), No. 2, June 2007, pp. 99-111.
Springer DOI
0710
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Rodriguez-Lopez, J.[Jesus],
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Weak inclusions and digital spaces,
PRL(30), No. 1, 1 January 2009, pp. 39-45.
Elsevier DOI
0811
Digital space; Weak inclusion; Connectedness; Pretopology
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preclosure operator.
BibRef
Soille, P.[Pierre],
Vogt, P.[Peter],
Morphological segmentation of binary patterns,
PRL(30), No. 4, 1 March 2009, pp. 456-459.
Elsevier DOI
0903
Morphological image analysis; Pattern segmentation; Connectivity
BibRef
Soille, P.[Pierre],
Grazzini, J.[Jacopo],
Constrained Connectivity and Transition Regions,
ISMM09(59-69).
Springer DOI
0908
BibRef
Earlier:
Advances in Constrained Connectivity,
DGCI08(xx-yy).
Springer DOI
0804
BibRef
Aizawa, K.[Kunio],
Tanaka, S.[Shojiro],
Motomura, K.[Koyo],
Kadowaki, R.[Ryosuke],
Algorithms for connected component labeling based on quadtrees,
IJIST(19), No. 2, June 2009, pp. 158-166.
DOI Link
0905
See also Constant-Time Algorithm for Finding Neighbors in Quadtrees, A.
BibRef
He, L.F.[Li-Feng],
Chao, Y.Y.[Yu-Yan],
Suzuki, K.J.[Ken-Ji],
Wu, K.S.[Ke-Sheng],
Fast connected-component labeling,
PR(42), No. 9, September 2009, pp. 1977-1987.
Elsevier DOI
0905
Labeling algorithm; Label equivalence; Connected component;
Linear-time algorithm; Pattern recognition
BibRef
Grana, C.[Costantino],
Borghesani, D.[Daniele],
Cucchiara, R.[Rita],
Optimized Block-Based Connected Components Labeling With Decision Trees,
IP(19), No. 6, June 2010, pp. 1596-1609.
IEEE DOI
1006
BibRef
Earlier:
Fast block based connected components labeling,
ICIP09(4061-4064).
IEEE DOI
0911
BibRef
And:
Connected Component Labeling Techniques on Modern Architectures,
CIAP09(816-824).
Springer DOI
0909
See also Decision Trees for Fast Thinning Algorithms.
BibRef
Grana, C.[Costantino],
Bolelli, F.[Federico],
Baraldi, L.[Lorenzo],
Vezzani, R.,
YACCLAB: Yet Another Connected Components Labeling Benchmark,
ICPR16(3109-3114)
IEEE DOI
1705
Algorithm design and analysis, Benchmark testing, Decision trees,
Image resolution, Labeling, Licenses, Proposals
BibRef
Grana, C.[Costantino],
Baraldi, L.[Lorenzo],
Bolelli, F.[Federico],
Optimized Connected Components Labeling with Pixel Prediction,
ACIVS16(431-440).
Springer DOI
1611
BibRef
Grana, C.[Costantino],
Montangero, M.[Manulea],
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Cucchiara, R.[Rita],
Optimal Decision Trees Generation from OR-Decision Tables,
CIAP11(I: 443-452).
Springer DOI
1109
BibRef
Biswas, A.[Arindam],
Bhowmick, P.[Partha],
Bhattacharya, B.B.[Bhargab B.],
Construction of isothetic covers of a digital object:
A combinatorial approach,
JVCIR(21), No. 4, May 2010, pp. 295-310.
Elsevier DOI
1006
Connected component; Digital geometry; Digital object; Isothetic
cover; Isothetic polygon; Image processing; Pattern recognition; Shape
analysis
BibRef
Dutt, M.[Mousumi],
Biswas, A.[Arindam],
Bhowmick, P.[Partha],
Bhattacharya, B.B.[Bhargab B.],
On the family of shortest isothetic paths in a digital object: An
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CVIU(129), No. 1, 2014, pp. 75-88.
Elsevier DOI
1411
Shortest path
BibRef
Dutt, M.[Mousumi],
Biswas, A.[Arindam],
Nagy, B.[Benedek],
Number of Shortest Paths in Triangular Grid for 1- and 2-Neighborhoods,
IWCIA15(115-124).
Springer DOI
1601
BibRef
de Bock, J.,
Philips, W.,
Fast and Memory Efficient 2-D Connected Components Using Linked Lists
of Line Segments,
IP(19), No. 12, December 2010, pp. 3222-3231.
IEEE DOI
1011
BibRef
Thompson, R.J.[Rodney James],
van Oosterom, P.[Peter],
Connectivity in the regular polytope representation,
GeoInfo(15), No. 2, April 2011, pp. 223-246.
WWW Link.
1103
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He, L.F.[Li-Feng],
Chao, Y.Y.[Yu-Yan],
Suzuki, K.[Kenji],
A Run-Based Two-Scan Labeling Algorithm,
IP(17), No. 5, May 2008, pp. 749-756.
IEEE DOI
0804
BibRef
Earlier:
ICIAR07(131-142).
Springer DOI
0708
BibRef
And:
A Linear-Time Two-Scan Labeling Algorithm,
ICIP07(V: 241-244).
IEEE DOI
0709
BibRef
He, L.F.[Li-Feng],
Chao, Y.Y.[Yu-Yan],
Suzuki, K.[Kenji],
An efficient first-scan method for label-equivalence-based labeling
algorithms,
PRL(31), No. 1, 1 January 2010, pp. 28-35.
Elsevier DOI
1001
Connected component; Labeling algorithm; First scan; Mask; Pattern recognition
BibRef
He, L.F.[Li-Feng],
Chao, Y.Y.[Yu-Yan],
Suzuki, K.[Kenji],
Itoh, H.[Hidenori],
A fast first-scan algorithm for label-equivalence-based
connected-component labeling,
ICIP09(4013-4016).
IEEE DOI
0911
BibRef
And:
A Run-Based One-Scan Labeling Algorithm,
ICIAR09(93-102).
Springer DOI
0907
BibRef
He, L.F.[Li-Feng],
Chao, Y.Y.[Yu-Yan],
Suzuki, K.[Kenji],
Two Efficient Label-Equivalence-Based Connected-Component Labeling
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IP(20), No. 8, August 2011, pp. 2122-2134.
IEEE DOI
1108
BibRef
He, L.F.[Li-Feng],
Chao, Y.Y.[Yu-Yan],
A Very Fast Algorithm for Simultaneously Performing
Connected-Component Labeling and Euler Number Computing,
IP(24), No. 9, September 2015, pp. 2725-2735.
IEEE DOI
1506
computational complexity
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He, L.F.[Li-Feng],
Zhao, X.[Xiao],
Chao, Y.Y.[Yu-Yan],
Suzuki, K.[Kenji],
Configuration-Transition-Based Connected-Component Labeling,
IP(23), No. 2, February 2014, pp. 943-951.
IEEE DOI
1402
edge detection
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Lacassagne, L.[Lionel],
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Light speed labeling: efficient connected component labeling on RISC
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RealTimeIP(6), No. 2, June 2011, pp. 117-135.
WWW Link.
1101
Parallel Algorithms.
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Earlier:
Light Speed Labeling for RISC architectures,
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IEEE DOI
0911
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Lacassagne, L.[Lionel],
What is the World's Fastest Connected Component Labeling Algorithm?,
SIPS15(xx-yy).
1505
BibRef
Cabaret, L.[Laurent],
Lacassagne, L.[Lionel],
Oudni, L.[Louiza],
A Review of World's Fastest Connected Component Labeling Algorithms:
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DASIP14(xx-yy).
1505
BibRef
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Efficient scan mask techniques for connected components labeling
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JIVP(2011), No. 1 2011, pp. xx-yy.
DOI Link
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BibRef
Zhao, F.[Fei],
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Real-time single-pass connected components analysis algorithm,
JIVP(2013), No. 1, 2013, pp. 21.
DOI Link
1305
BibRef
Song, Y.Q.[Yu-Qing],
Computation of level lines of 4-/8-connectedness,
JVCIR(25), No. 2, 2014, pp. 435-444.
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1402
Level line
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Coeurjolly, D.[David],
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IPOL(2014), No. 2014, pp. 30-43.
DOI Link
1404
Code, Connected Components.
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Carlinet, E.[Edwin],
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A Comparative Review of Component Tree Computation Algorithms,
IP(23), No. 9, September 2014, pp. 3885-3895.
IEEE DOI
1410
BibRef
Earlier:
A Comparison of Many Max-tree Computation Algorithms,
ISMM13(73-85).
Springer DOI
1305
filtering theory.
for connectivity
BibRef
Carlinet, E.[Edwin],
Géraud, T.[Thierry],
MToS: A Tree of Shapes for Multivariate Images,
IP(24), No. 12, December 2015, pp. 5330-5342.
IEEE DOI
1512
BibRef
Earlier:
A Color Tree of Shapes with Illustrations on Filtering, Simplification,
and Segmentation,
ISMM15(363-374).
Springer DOI
1506
BibRef
Earlier:
A Morphological Tree of Shapes for Color Images,
ICPR14(1132-1137)
IEEE DOI
1412
image colour analysis.
Color
BibRef
Esteban, B.[Baptiste],
Tochon, G.[Guillaume],
Géraud, T.[Thierry],
Estimating the Noise Level Function with the Tree of Shapes and
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CAIP19(II:377-388).
Springer DOI
1909
BibRef
Géraud, T.[Thierry],
Carlinet, E.[Edwin],
Crozet, S.[Sébastien],
Self-duality and Digital Topology: Links Between the Morphological Tree
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ISMM15(573-584).
Springer DOI
1506
BibRef
Géraud, T.[Thierry],
Carlinet, E.[Edwin],
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Najman, L.[Laurent],
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ISMM13(98-110).
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1305
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Ôn Vu Ngoc, M.[Minh],
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1502
Connectivity
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1503
BibRef
Earlier:
Inf-structuring Functions and Self-dual Marked Flattenings in
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ISMM13(365-376).
Springer DOI
1305
BibRef
Bejar, H.C.[Hans Ccacyahuillca],
Miranda, P.[Paulo],
Oriented relative fuzzy connectedness: theory, algorithms, and its
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DOI Link
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BibRef
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IEICE(E98-D), No. 11, November 2015, pp. 2013-2016.
WWW Link.
1512
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He, L.F.[Li-Feng],
Chao, Y.Y.[Yu-Yan],
Suzuki, K.[Kenji],
A new algorithm for labeling connected-components and calculating the
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ICPR12(3099-3102).
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1302
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Wilkinson, M.H.F.[Michael H.F.],
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An Efficient Parallel Algorithm for Multi-Scale Analysis of Connected
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IJGI(5), No. 3, 2016, pp. 22.
DOI Link
1604
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Ciesielski, K.C.[Krzysztof Chris],
Herman, G.T.[Gabor T.],
Kong, T.Y.[T. Yung],
General Theory of Fuzzy Connectedness Segmentations,
JMIV(55), No. 3, July 2016, pp. 304-342.
Springer DOI
1604
BibRef
Earlier: A2, A3, A1:
Fuzzy Connectedness Segmentation:
A Brief Presentation of the Literature,
IWCIA15(21-30).
Springer DOI
1601
BibRef
Klaiber, M.J.,
Bailey, D.G.,
Baroud, Y.O.,
Simon, S.,
A Resource-Efficient Hardware Architecture for Connected Component
Analysis,
CirSysVideo(26), No. 7, July 2016, pp. 1334-1349.
IEEE DOI
1608
embedded systems
BibRef
Guo, S.[Siyu],
Zhou, W.F.[Wei-Fang],
Wen, H.[He],
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Fast binary image set operations on a run-based representation,
PRL(80), No. 1, 2016, pp. 216-223.
Elsevier DOI
1609
Set operation
BibRef
He, L.F.[Li-Feng],
Ren, X.[Xiwei],
Gao, Q.H.[Qi-Hang],
Zhao, X.[Xiao],
Yao, B.[Bin],
Chao, Y.Y.[Yu-Yan],
The connected-component labeling problem:
A review of state-of-the-art algorithms,
PR(70), No. 1, 2017, pp. 25-43.
Elsevier DOI
1706
Survey, Connected Components. Connected-component, labeling
BibRef
He, L.F.[Li-Feng],
Zhao, X.[Xiao],
Yao, B.[Bin],
Yang, Y.[Yun],
Chao, Y.Y.[Yu-Yan],
Shi, Z.H.[Zheng-Hao],
Suzuki, K.[Kenji],
A combinational algorithm for connected-component labeling and Euler
number computing,
RealTimeIP(13), No. 4, December 2017, pp. 703-712.
Springer DOI
1712
BibRef
He, L.F.[Li-Feng],
Yao, B.[Bin],
Zhao, X.[Xiao],
Yang, Y.[Yun],
Shi, Z.H.[Zheng-Hao],
Kasuya, H.[Hideto],
Chao, Y.Y.[Yu-Yan],
A fast algorithm for integrating connected-component labeling and euler
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RealTimeIP(15), No. 4, December 2018, pp. 709-723.
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1812
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Ohira, N.[Norihiro],
Memory-efficient 3D connected component labeling with parallel
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SIViP(12), No. 3, March 2018, pp. 429-436.
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1804
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Tang, J.W.[Jia Wei],
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Sheikh, U.U.[Usman Ullah],
Marsono, M.N.,
A linked list run-length-based single-pass connected component analysis
for real-time embedded hardware,
RealTimeIP(15), No. 1, June 2018, pp. 197-215.
Springer DOI
1806
BibRef
Asad, P.[Pedro],
Marroquim, R.[Ricardo],
Souza, A.L.E.L.[Andréa L.E.L.],
On GPU Connected Components and Properties: A Systematic Evaluation
of Connected Component Labeling Algorithms and Their Extension for
Property Extraction,
IP(28), No. 1, January 2019, pp. 17-31.
IEEE DOI
1810
feature extraction, graphics processing units,
image segmentation, video signal processing,
graphics processors
BibRef
Yin, Y.[Yong],
Li, C.M.[Cheng-Ming],
Wu, P.D.[Peng-Da],
Dot Symbol Auto-Filling Method for Complex Areas Considering Shape
Features,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Zhang, D.Y.[Dan-Yang],
Ma, H.D.[Hua-Dong],
Pan, L.Q.[Lin-Qiang],
A gamma-signal-regulated connected components labeling algorithm,
PR(91), 2019, pp. 281-290.
Elsevier DOI
1904
Connected components labeling, Object detection,
Object recognition, Pattern recognition, Image analysis
BibRef
Klaiber, M.J.[Michael J.],
Bailey, D.G.[Donald G.],
Simon, S.[Sven],
A single-cycle parallel multi-slice connected components analysis
hardware architecture,
RealTimeIP(16), No. 4, August 2019, pp. 1165-1175.
WWW Link.
1908
BibRef
Klaiber, M.J.[Michael J.],
Bailey, D.G.[Donald G.],
Simon, S.[Sven],
Comparative Study and Proof of Single-Pass Connected Components
Algorithms,
JMIV(61), No. 8, October 2019, pp. 1112-1134.
Springer DOI
1909
BibRef
Bolelli, F.,
Allegretti, S.,
Baraldi, L.,
Grana, C.,
Spaghetti Labeling: Directed Acyclic Graphs for Block-Based Connected
Components Labeling,
IP(29), 2020, pp. 1999-2012.
IEEE DOI
2001
Decision trees, Prediction algorithms, Vegetation, Labeling,
Image processing, Task analysis, Forestry,
image processing
BibRef
Bolelli, F.[Federico],
Cancilla, M.[Michele],
Baraldi, L.[Lorenzo],
Grana, C.[Costantino],
Toward reliable experiments on the performance of Connected Components
Labeling algorithms,
RealTimeIP(17), No. 2, April 2020, pp. 229-244.
Springer DOI
2004
BibRef
Diaz-del-Rio, F.[Fernando],
Sanchez-Cuevas, P.[Pablo],
Molina-Abril, H.[Helena],
Real, P.[Pedro],
Parallel connected-Component-Labeling based on homotopy trees,
PRL(131), 2020, pp. 71-78.
Elsevier DOI
2004
Connected-Component-Labeling, Computational topology,
Adjacency tree, Digital image, Parallelism
BibRef
Zhao, C.,
Gao, W.,
Nie, F.,
A Memory-Efficient Hardware Architecture for Connected Component
Labeling in Embedded System,
CirSysVideo(30), No. 9, September 2020, pp. 3238-3252.
IEEE DOI
2009
Hardware, Labeling, Memory management, Acceleration, System-on-chip,
Random access memory, Connected component labeling (CCL), embedded system
BibRef
Zhao, C.[Chen],
Gao, W.[Wu],
Nie, F.P.[Fei-Ping],
A Resource-Efficient Parallel Connected Component Labeling Algorithm
and Its Hardware Implementation,
MultMed(23), 2021, pp. 4184-4197.
IEEE DOI
2112
Hardware, Labeling, Random access memory, Memory management,
System-on-chip, Registers, Feature extraction, single-scan
BibRef
Tao, R.[Rui],
Qiao, J.[Jiangang],
Fast Component Tree Computation for Images of Limited Levels,
PAMI(45), No. 3, March 2023, pp. 3059-3071.
IEEE DOI
2302
Shape, Level set, Floods, Image segmentation, Transportation,
Transforms, Image filtering, Level line, level set, component tree,
image processing
BibRef
Gazagnes, S.[Simon],
Wilkinson, M.H.F.[Michael H.F.],
Parallel Attribute Computation for Distributed Component Forests,
ICIP22(601-605)
IEEE DOI
2211
Filtering, Buildings, Data visualization, Switches, Forestry,
Mathematical morphology, Connected filters, Component trees,
Parallel computing
BibRef
Bolelli, F.[Federico],
Allegretti, S.[Stefano],
Grana, C.[Costantino],
Quest for Speed: The Epic Saga of Record-Breaking on OpenCV Connected
Components Extraction,
Binary22(107-118).
Springer DOI
2208
BibRef
Lemaitre, F.[Florian],
Maurice, N.[Nathan],
Lacassagne, L.[Lionel],
An Efficient Run-Based Connected Component Labeling Algorithm for
Processing Holes,
Binary22(119-131).
Springer DOI
2208
BibRef
Maurice, N.[Nathan],
Lemaitre, F.[Florian],
Sopena, J.[Julien],
Lacassagne, L.[Lionel],
LSL3D: A Run-Based Connected Component Labeling Algorithm for 3D
Volumes,
Binary22(132-142).
Springer DOI
2208
BibRef
Bolelli, F.[Federico],
Allegretti, S.[Stefano],
Grana, C.[Costantino],
Connected Components Labeling on Bitonal Images,
CIAP22(II:347-357).
Springer DOI
2205
BibRef
Banaeyan, M.[Majid],
Kropatsch, W.G.[Walter G.],
Pyramidal Connected Component Labeling by Irregular Graph Pyramid,
IPRIA21(1-5)
IEEE DOI
2201
Image segmentation, Image analysis, Graphics processing units,
Gray-scale, Hardware, Complexity theory, Topology, Image Processing,
Connected Component Labeling
BibRef
Söchting, M.[Maximilian],
Allegretti, S.[Stefano],
Bolelli, F.[Federico],
Grana, C.[Costantino],
A Heuristic-Based Decision Tree for Connected Components Labeling of
3D Volumes,
ICPR21(7751-7758)
IEEE DOI
2105
Image processing, Pipelines, Manuals,
Entropy, Partitioning algorithms, Pattern recognition
BibRef
Bailey, D.G.,
History and Evolution of Single Pass Connected Component Analysis,
IVCNZ20(1-6)
IEEE DOI
2012
Couplings, Machine vision, Merging, Recycling, History,
connected component analysis, feature extraction, stream processing
BibRef
Aissou, B.,
Aissa, A.B.[A. Belhadj],
An Adapted Connected Component Labeling for Clustering Non-planar
Objects From Airborne Lidar Point Cloud,
ISPRS20(B2:191-195).
DOI Link
2012
BibRef
Brimkov, B.[Boris],
Brimkov, V.E.[Valentin E.],
On Connectedness of Discretized Sets,
IWCIA20(20-28).
Springer DOI
2009
BibRef
Wu, H.,
Zhang, J.,
Huang, K.,
SparseMask: Differentiable Connectivity Learning for Dense Image
Prediction,
ICCV19(6767-6776)
IEEE DOI
2004
gradient methods, image segmentation,
learning (artificial intelligence), neural net architecture,
Network architecture
BibRef
Allegretti, S.[Stefano],
Bolelli, F.[Federico],
Cancilla, M.[Michele],
Pollastri, F.[Federico],
Canalini, L.[Laura],
Grana, C.[Costantino],
How Does Connected Components Labeling with Decision Trees Perform on
GPUs?,
CAIP19(I:39-51).
Springer DOI
1909
BibRef
Allegretti, S.[Stefano],
Bolelli, F.[Federico],
Cancilla, M.[Michele],
Grana, C.[Costantino],
A Block-Based Union-Find Algorithm to Label Connected Components on
GPUs,
CIAP19(II:271-281).
Springer DOI
1909
BibRef
Bolelli, F.,
Baraldi, L.,
Cancilla, M.,
Grana, C.,
Connected Components Labeling on DRAGs,
ICPR18(121-126)
IEEE DOI
1812
Decision trees, Labeling, Task analysis, Computational modeling,
Very large scale integration
BibRef
Bolelli, F.[Federico],
Cancilla, M.[Michele],
Grana, C.[Costantino],
Two More Strategies to Speed Up Connected Components Labeling
Algorithms,
CIAP17(II:48-58).
Springer DOI
1711
BibRef
Yang, S.[Shuo],
Li, J.X.[Jian-Xun],
Gu, Z.Y.[Zhang-Yuan],
Nonlocal mathematical morphology and spatially-variant connected
operators,
ICVNZ15(1-6)
IEEE DOI
1701
algebra
BibRef
Real, P.[Pedro],
Díaz-del-Río, F.[Fernando],
Onchis, D.M.[Darian M.],
Toward Parallel Computation of Dense Homotopy Skeletons for nD Digital
Objects,
IWCIA17(142-155).
Springer DOI
1706
BibRef
Earlier: A2, A1, A3:
A Parallel Implementation for Computing the Region-Adjacency-Tree of a
Segmentation of a 2D Digital Image,
GPID15(98-109).
Springer DOI
1603
BibRef
Santiago, D.J.C.[Diego J.C.],
Ren, T.I.[Tsang Ing],
Cavalcanti, G.D.C.[George D.C.],
Jyh, T.I.[Tsang Ing],
Efficient 2X2 block-based connected components labeling algorithms,
ICIP15(4818-4822)
IEEE DOI
1512
Connected components labeling
BibRef
Cabaret, L.[Laurent],
Lacassagne, L.[Lionel],
Etiemble, D.[Daniel],
Parallel Light Speed Labeling: an efficient connected component
algorithm for labeling and analysis on multi-core processors,
RealTimeIP(15), No. 1, June 2018, pp. 173-196.
Springer DOI
1806
BibRef
Earlier:
Parallel light speed labeling: An efficient connected component
labeling algorithm for multi-core processors,
ICIP15(3486-3489)
IEEE DOI
1512
BibRef
And:
Distanceless label propagation: An efficient direct connected
component labeling algorithm for GPUs,
IPTA17(1-6)
IEEE DOI
1804
graphics processing units, multiprocessing systems,
parallel architectures, DLP algorithms, DLP-GPU,
Shape.
Connected component labeling
BibRef
Bosilj, P.[Petra],
Kijak, E.[Ewa],
Wilkinson, M.H.F.[Michael H.F.],
Lefèvre, S.[Sébastien],
Short local descriptors from 2D connected pattern spectra,
ICIP15(1548-1552)
IEEE DOI
1512
BibRef
Earlier: A1, A3, A2, A4:
Local 2D Pattern Spectra as Connected Region Descriptors,
ISMM15(182-193).
Springer DOI
1506
CBIR; local region descriptors; max-tree; pattern spectra
BibRef
Paravecino, F.N.[Fanny Nina],
Kaeli, D.[David],
Accelerated Connected Component Labeling Using CUDA Framework,
ICCVG14(502-509).
Springer DOI
1410
BibRef
Aydogan, D.B.[Dogu Baran],
Hyttinen, J.[Jari],
Contour tree connectivity of binary images from algebraic graph
theory,
ICIP13(3054-3058)
IEEE DOI
1402
algebraic graph theory
BibRef
Rasmusson, A.,
Sørensen, T.S.,
Ziegler, G.,
Connected Components Labeling on the GPU with Generalization to Voronoi
Diagrams and Signed Distance Fields,
ISVC13(I:206-215).
Springer DOI
1310
BibRef
Brimkov, V.E.[Valentin E.],
On Connectedness of Discretized Objects,
ISVC13(I:246-254).
Springer DOI
1310
BibRef
Moschini, U.[Ugo],
Trager, S.C.[Scott C.],
Wilkinson, M.H.F.[Michael H. F.],
Mask Connectivity by Viscous Closings: Linking Merging Galaxies without
Merging Double Stars,
ISMM13(484-495).
Springer DOI
1305
BibRef
Malmberg, F.[Filip],
Strand, R.[Robin],
Faster Fuzzy Connectedness via Precomputation,
ISMM13(476-483).
Springer DOI
1305
BibRef
Berthé, V.[Valérie],
Jamet, D.[Damien],
Jolivet, T.[Timo],
Provençal, X.[Xavier],
Critical Connectedness of Thin Arithmetical Discrete Planes,
DGCI13(107-118).
Springer DOI
1304
BibRef
Lewin, S.[Sergej],
Jiang, X.Y.[Xiao-Yi],
Clausing, A.[Achim],
Framework for quantitative performance evaluation of shape
decomposition algorithms,
ICPR12(3696-3699).
WWW Link.
1302
BibRef
Asano, T.[Tetsuo],
Bereg, S.[Sergey],
A New Framework for Connected Components Labeling of Binary Images,
IWCIA12(90-102).
Springer DOI
1211
BibRef
Riha, L.[Lubomir],
Mareboyana, M.[Manohar],
GPU accelerated one-pass algorithm for computing minimal rectangles of
connected components,
WACV11(479-484).
IEEE DOI
1101
BibRef
Wang, W.S.[Wen-Shan],
Hung, Y.F.[Ya-Fei],
Yang, J.K.[Jen-Kuei],
Tseng, S.Y.[Shau-Yin],
The Dynamic Decision Switch for Multiple Pixel Connected Component
Labeling Algorithm,
DICTA09(140-145).
IEEE DOI
0912
BibRef
Chen, L.[Li],
lambda-Connectedness Determination for Image Segmentation,
AIPR07(71-79).
IEEE DOI
0710
BibRef
Crespo, J.[Jose],
Levelings and Geodesic Reconstructions,
ISMM09(82-91).
Springer DOI
0908
BibRef
Roy, P.[Pradipta],
Biswas, P.K.[Prabir Kumar],
VLSI Implementation of Fast Connected Component Labeling Using Finite
State Machine Based Cell Network,
ICCVGIP08(238-243).
IEEE DOI
0812
BibRef
Matas, P.,
Dokládalová, E.,
Akil, M.,
Grandpierre, T.,
Najman, L.,
Poupa, M.,
Georgiev, V.,
Parallel Algorithm for Concurrent Computation of Connected Component
Tree,
ACIVS08(xx-yy).
Springer DOI
0810
BibRef
Damiand, G.[Guillaume],
Arrivault, D.[Denis],
A New Contour Filling Algorithm Based on 2D Topological Map,
GbRPR07(319-329).
Springer DOI
0706
BibRef
Yan, P.K.[Ping-Kun],
Shah, M.[Mubarak],
Segmentation of Neighboring Structures by Modeling Their Interaction,
MMBIA06(77).
IEEE DOI
0609
BibRef
Herley, C.,
Recursive method to extract rectangular objects from scans,
ICIP03(III: 989-992).
IEEE DOI
0312
BibRef
Sofou, A.,
Tzafestas, C.,
Maragos, P.,
Segmentation of Soil Section Images Using Connected Operators,
ICIP01(III: 1087-1090).
IEEE DOI
0108
BibRef
Doulamis, A.D.,
Doulamis, N.D.,
Maragos, P.,
Generalized Multiscale Connected Operators with Applications,
ICIP01(III: 684-687).
IEEE DOI
0108
BibRef
Arnaud, G.M.,
Lamure, M.,
Terrenoire, M.,
Tounissoux, D.,
Analysis of the Connectivity of an Object in a Binary Image:
Pretopological Approach,
ICPR86(1204-1206).
BibRef
8600
di Stefano, L.,
Bulgarelli, A.,
A simple and efficient connected components labeling algorithm,
CIAP99(322-327).
IEEE DOI
9909
BibRef
Kasvand, T.,
Total 8-connectivity on the square raster,
ICPR88(I: 354-356).
IEEE DOI
8811
BibRef
Kasvand, T.,
Otsu, N.,
Segmentation of Thinned Binary Scenes with Good Connectivity Algorithms,
ICPR84(297-300).
BibRef
8400
And:
Recognition of Line Shapes Based on Thinning, Segmentation with
Good Connectivity Algorithms, and Regularization,
ICPR84(497-500).
BibRef
Auran, P.G.[Per G.],
Malvig, K.E.[Kjell E.],
Realtime Extraction of Connected Component in 3D Sonar Range Images,
CVPR96(580-585).
IEEE DOI
BibRef
9600
Biancardi, A.,
Merigot, A.,
Connected Component Support For Image Analysis Programs,
ICPR96(IV: 620-624).
IEEE DOI
9608
(Univ. Paris Sud, F)
BibRef
Mozef, E.,
Weber, S.,
Jaber, J.,
Tisserand, E.,
Parallel Architecture Dedicated to Connected Component Analysis,
ICPR96(IV: 699-703).
IEEE DOI
9608
(Univ. de Nancy I, F)
BibRef
Wu, X.,
Kemeny, J.M.,
A segmentation method for multi-connected particle delineation,
WACV92(240-247).
IEEE DOI
0403
BibRef
Wang, Y.[Yang],
Bhattacharya, P.,
A theory of parameter-dependent connected components of gray images and
segmentation,
ICIP95(III: 69-72).
IEEE DOI
9510
BibRef
Mandler, E.,
Oberlander, M.F.,
One-Pass Encoding of Connected Components in
Multi-Valued Images,
ICPR90(II: 64-69).
IEEE DOI
BibRef
9000
Hattori, T.,
A High-Speed Pipeline Processor for Regional Labelling Based
on a New Algorithm,
ICPR90(II: 494-496).
IEEE DOI About the hardware, not the algorithm.
BibRef
9000
Shima, Y.,
Murakami, T.,
Koga, M.,
Yashiro, H.,
Fujisawa, H.,
A high-speed algorithm for propagation-type labeling based on block
sorting of runs in binary images,
ICPR90(I: 655-658).
IEEE DOI
9006
BibRef
Maresca, M.,
Li, H.,
Lavin, M.,
Connected Component Labeling on Polymorphic Torus Architecture,
CVPR88(951-956).
IEEE DOI
See also Polymorphic-Torus Architecture for Computer Vision.
BibRef
8800
Tucker, L.W.,
Labeling Connected Components on a Massively Parallel Tree Machine,
CVPR86(124-129).
The algorithm applies only to a tree machine, it uses
processors ineffectively.
BibRef
8600
Zahn, C.T.,
A Formal Description for Two-Dimensional Patterns,
IJCAI69(621-628).
BibRef
6900
And:
CMetImAly77(263-270).
BibRef
And:
See also Sequential Approach to the Extraction of Shape Features, A.
Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Two Dimensional Data Representations, Image Order .