Search Results - Connected component based algorithm

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  1. 1

    An efficient watershed algorithm based on connected components by Bieniek, A., Moga, A.

    ISSN: 0031-3203, 1873-5142
    Published: Elsevier Ltd 01.06.2000
    Published in Pattern recognition (01.06.2000)
    “… The novelty of the approach is to adapt the connected component operator to solve the watershed segmentation problem…”
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    Journal Article
  2. 2

    Efficient parallel algorithm for finding strongly connected components based on granulation strategy: Efficient parallel algorithm by Xu, Taihua, He, Huixing, Yang, Xibei, Yang, Jie, Song, Jingjing, Cui, Yun

    ISSN: 0219-1377, 0219-3116
    Published: London Springer London 01.03.2025
    Published in Knowledge and information systems (01.03.2025)
    “…Strongly connected components (SCCs) are a significant subgraph structure in digraphs…”
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    Journal Article
  3. 3

    Blindness detection in diabetic retinopathy using Bayesian variant-based connected component algorithm in Keras and TensorFlow by Babu, Shanmugavel Anantha, Murali, Subramanian, Vijayan, Ellappan, Anand, Mahendran, Ramanathan, Lakshmanan

    ISSN: 2226-1494, 2500-0373
    Published: ITMO University 01.12.2024
    “… The proposed modeling consists of three stages: pre-training, fine-tuning and inference. The probabilistic based pixel identification (Bayesian variant…”
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    Journal Article
  4. 4
  5. 5

    Graph-Based Maximum Connected-Component Learning Algorithm for Small Target Detection in Maritime Radars by Bai, Xiaohui, Xu, Shuwen, Guo, Zixun, Shui, Penglang

    ISSN: 0018-9251, 1557-9603
    Published: New York IEEE 01.02.2025
    “… In low-dimensional feature spaces, by combining training samples with the convexity regularity on decision regions, the convexhull learning algorithm is a technique for designing one-class classifiers…”
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    Journal Article
  6. 6

    Block-Based Connected-Component Labeling Algorithm Using Binary Decision Trees by Chang, Wan-Yu, Chiu, Chung-Cheng, Yang, Jia-Horng

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 18.09.2015
    Published in Sensors (Basel, Switzerland) (18.09.2015)
    “…In this paper, we propose a fast labeling algorithm based on block-based concepts…”
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    Journal Article
  7. 7

    FPGA-Based Connected Component Algorithm for Vegetation Segmentation by Bassine, Fatima Zahra, Errami, Ahmed, Khaldoun, Mohamed

    ISSN: 2278-3075, 2278-3075
    Published: 30.01.2020
    “… In the case of remote sensing vegetation, the image usually contains multiple connected areas or overlapped trees…”
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    Journal Article
  8. 8

    Optimized Block-Based Algorithms to Label Connected Components on GPUs by Allegretti, Stefano, Bolelli, Federico, Grana, Costantino

    ISSN: 1045-9219, 1558-2183
    Published: New York IEEE 01.02.2020
    “…Connected Components Labeling (CCL) is a crucial step of several image processing and computer vision pipelines…”
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    Journal Article
  9. 9

    Protecting Privacy in Location-Based Services Through Location Anonymization Using Cloaking Algorithms Based on Connected Components by Saravanan, P. Shanthi, Balasundaram, S. R.

    ISSN: 0929-6212, 1572-834X
    Published: New York Springer US 01.09.2018
    Published in Wireless personal communications (01.09.2018)
    “… Specifically to cloak location-contexts a new component based graph model called Cloaked Region Construction Algorithm (CRCA…”
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    Journal Article
  10. 10

    Two Efficient Label-Equivalence-Based Connected-Component Labeling Algorithms for 3-D Binary Images by Lifeng He, Yuyan Chao, Suzuki, K.

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Published: New York, NY IEEE 01.08.2011
    Published in IEEE transactions on image processing (01.08.2011)
    “…) in binary images, labeling is required. This paper presents two efficient label-equivalence-based connected-component labeling algorithms for 3-D binary images…”
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    Journal Article
  11. 11

    Efficient parallel algorithm for finding strongly connected components based on granulation strategy by Xu, Taihua, He, Huixing, Yang, Xibei, Yang, Jie, Song, Jingjing, Cui, Yun

    ISSN: 0219-1377, 0219-3116
    Published: London Springer Nature B.V 01.03.2025
    Published in Knowledge and information systems (01.03.2025)
    “…Strongly connected components (SCCs) are a significant subgraph structure in digraphs…”
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    Journal Article
  12. 12

    Block-run-based connected component labelling algorithm for GPGPU using shared memory by Chen, P., Zhao, H.L., Tao, C., Sang, H.S.

    ISSN: 0013-5194, 1350-911X
    Published: Stevenage Institution of Engineering and Technology 24.11.2011
    Published in Electronics letters (24.11.2011)
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    Journal Article
  13. 13

    Birnbaum importance-based simulated annealing algorithm for solving the component assignment problem of linear connected-(r, s)-out-of-(m, n):F lattice systems by Nakamura, Taishin, Homma, Isshin, Yamamoto, Hisashi

    ISSN: 0975-6809, 0976-4348
    Published: New Delhi Springer India 01.04.2024
    “… This paper proposes a Birnbaum importance-based simulated annealing (SA) algorithm for the CAP of linear connected-( r ,  s )-out-of-( m ,  n ):F lattice systems…”
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    Journal Article
  14. 14

    A Granulation Strategy-Based Algorithm for Computing Strongly Connected Components in Parallel by He, Huixing, Xu, Taihua, Chen, Jianjun, Cui, Yun, Song, Jingjing

    ISSN: 2227-7390, 2227-7390
    Published: Basel MDPI AG 01.06.2024
    Published in Mathematics (Basel) (01.06.2024)
    “…: granulation and granular-based computing. Strongly connected components (SCCs) are a significant subgraph structure in digraphs…”
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    Journal Article
  15. 15

    Language-Independent Text-Line Extraction Algorithm for Handwritten Documents by Ryu, Jewoong, Koo, Hyung Il, Cho, Nam Ik

    ISSN: 1070-9908, 1558-2361
    Published: New York IEEE 01.09.2014
    Published in IEEE signal processing letters (01.09.2014)
    “… Our method is based on connected components (CCs), however, unlike conventional methods, we analyze strokes and partition under-segmented CCs into normalized ones…”
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    Journal Article
  16. 16

    Combining a connected-component labeling algorithm with FILTERSIM to simulate continuous discrete fracture networks by Jia, Ming, Zhang, Liehui, Guo, Jingjing

    ISSN: 1866-6280, 1866-6299
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2017
    Published in Environmental earth sciences (01.04.2017)
    “… This paper proposes an improved approach we call CCL-FILTERSIM, which combines FILTERSIM with a run-based, connected-component labeling algorithm to generate more continuous fractures…”
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    Journal Article
  17. 17

    Block-run-based connected component labelling algorithm for GPGPU using shared memory by Chen, P, Zhao, H L, Tao, C, Sang, H S

    ISSN: 0013-5194, 1350-911X
    Published: Stevenage John Wiley & Sons, Inc 24.11.2011
    Published in Electronics letters (24.11.2011)
    “…An efficient two-scan connected component labelling (CCL) algorithm is proposed for a general purpose graphics processing unit (GPGPU…”
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    Journal Article
  18. 18

    Efficient 2×2 block-based connected components labeling algorithms by Santiago, Diego J.C., Ren, Tsang Ing, Cavalcanti, George D.C., Jyh, Tsang Ing

    Published: IEEE 01.09.2015
    “…This paper presents three new efficient 2×2 block-based algorithms for connected components labeling…”
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    Conference Proceeding
  19. 19

    Strongly Connected Components Mining Algorithm Based on k-step Search of Vertex Granule and Rough Set Theory by Cheng, Fu-hao, Xu, Tai-hua, Chen, Jian-jun, Song, Jing-jing, Yang, Xi-bei

    ISSN: 1002-137X
    Published: Chongqing Guojia Kexue Jishu Bu 01.08.2022
    Published in Ji suan ji ke xue (01.08.2022)
    “…Strong connected components(SCCs) mining is one of the classic problems in graph…”
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    Journal Article
  20. 20

    Fast block-based algorithms for connected components labeling by Santiago, Diego J. C., Tsang Ing Ren, Cavalcanti, George D. C., Tsang Ing Jyh

    ISSN: 1520-6149
    Published: IEEE 01.05.2013
    “…Block-based algorithms are considered the fastest approach to label connected components in binary images…”
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    Conference Proceeding