Frontiers of Optoelectronics, Volume. 9, Issue 4, 633(2016)

Improved accuracy of superpixel segmentation by region merging method

Song ZHU, Danhua CAO*, Yubin WU, and Shixiong JIANG
Author Affiliations
  • School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
  • show less
    References(16)

    [1] [1] Ren X, Malik J. Learning a classi.cation model for segmentation. In: Proceedings of IEEE International Conference on Computer Vision. 2003, 10–17

    [2] [2] Kohli P, Ladicky L, Torr P H S. Robust higher order potentials for enforcing label consistency. International Journal of Computer Vision, 2009, 82(3): 302–324

    [3] [3] Pantofaru C, Schmid C, Hebert M. Object recognition by integrating multiple image segmentations. In: Proceedings of European Conference on Computer Vision. 2008, 5304: 481–494

    [4] [4] Fulkerson B, Vedaldi A, Soatto S. Class segmentation and object localization with superpixel neighborhoods. In: Proceedings of IEEE International Conference on Computer Vision. 2009, 670–677

    [5] [5] Achanta R, Shaji A, Smith K, Lucchi A, Fua P, Süsstrunk S. SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(11): 2274–2282

    [6] [6] Levinshtein A, Stere A, Kutulakos K N, Fleet D J, Dickinson S J, Siddiqi K. TurboPixels: fast superpixels using geometric .ows. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(12): 2290–2297

    [7] [7] Veksler O, Boykov Y, Mehrani P. Superpixels and supervoxels in an energy optimization framework. In: Proceedings of European Conference on Computer Vision. 2010, 6315: 211–224

    [8] [8] Liu M Y, Tuzel O, Ramalingam S, Chellappa R. Entropy-rate clustering: cluster analysis via maximizing a submodular function subject to a matroid constraint. IEEE Transactions on Pattern As f(x) is a convex/concave function, the derivative Analysis and Machine Intelligence, 2014, 36(1): 99–112 .f exT=.x is monotonically increasing/decreasing, there is 9. Haris K, Efstratiadis S N, Maglaveras N, Katsaggelos A K. Hybrid image segmentation using watersheds and fast region merging. IEEE Transactions on Image Processing, 1998, 7(12): 1684–1699

    [9] [9] Salembier P, Garrido L. Binary partition tree as an ef.cient representation for image processing, segmentation, and information retrieval. IEEE Transactions on Image Processing, 2000, 9(4): 561– 576

    [10] [10] Nock R, Nielsen F. Statistical region merging. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(11): 1452– 1458

    [11] [11] Calderero F, Marques F. Region merging techniques using information theory statistical measures. IEEE Transactions on Image Processing, 2010, 19(6): 1567–1586

    [12] [12] Moscheni F, Bhattacharjee S, Kunt M. Spatio-temporal segmenta-tion based on region merging. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(9): 897–915

    [13] [13] Ben Ayed I, Mitiche A. A region merging prior for variational level set image segmentation. IEEE Transactions on Image Processing, 2008, 17(12): 2301–2311

    [14] [14] Beaulieu J M, Goldberg M. Hierarchy in picture segmentation: a stepwise optimization approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 11(2): 150–163

    [15] [15] Wikipedia. Diversity index, 2014, http://en.wikipedia.org/wiki/ Diversity_index

    [16] [16] Cormen T H, Leiserson C E. Rivest R L, Stein C. Introduction to Algorithms. 2nd ed. Cambridge, Mass: MIT Press, 2001

    Tools

    Get Citation

    Copy Citation Text

    Song ZHU, Danhua CAO, Yubin WU, Shixiong JIANG. Improved accuracy of superpixel segmentation by region merging method[J]. Frontiers of Optoelectronics, 2016, 9(4): 633

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: RESEARCH ARTICLE

    Received: Oct. 14, 2014

    Accepted: Jan. 16, 2015

    Published Online: Mar. 9, 2017

    The Author Email: Danhua CAO (dhcao@mail.hust.edu.cn)

    DOI:10.1007/s12200-015-0482-2

    Topics