Super-Pixel Segmentation of Remote Sensing Image Based on Improved Simple Linear Iterative Clustering Algorithm

Xinlei Ren; Yangping Wang

doi:10.3788/LOP57.222801

[1] Li P, Yang Y, Fang T. A fast superpixel algorithm with biased-clustering using visual saliency[J]. Journal of Xi'an Jiaotong University, 49, 112-117, 138(2015).

[2] Luo X G, Lü J R, Peng Z M. Recent research progress of superpixel segmentation and evaluation[J]. Laser & Optoelectronics Progress, 56, 090005(2019).

[3] Ren X, Malik J. Learning a classification model for segmentation. [C]//Proceedings Ninth IEEE International Conference on Computer Vision, October 13-16, 2003, Nice, France. New York: IEEE, 10-17(2003).

[4] Wang S, Lu H, Yang F et al. Superpixel tracking. [C]//2011 International Conference on Computer Vision, November 6-13, 2011, Barcelona, Spain. New York: IEEE, 1323-1330(2011).

[5] Yu Q L, Yang T H, Tang S B et al. The 3D reconstruction method for quasi-brittle material structure and application[J]. Engineering Mechanics, 32, 51-62, 114(2015).

[6] Comaniciu D, Meer P. Mean Shift: a robust approach toward feature space analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 603-619(2002).

[7] Shen J B, Hao X P, Liang Z Y et al. Real-time superpixel segmentation by DBSCAN clustering algorithm[J]. IEEE Transactions on Image Processing, 25, 5933-5942(2016). http://ieeexplore.ieee.org/document/7588062

[8] Achanta R, Shaji A, Smith K et al. SLIC superpixels compared to state-of-the-art superpixel methods[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34, 2274-2282(2012).

[9] Kanungo T, Mount D M, Netanyahu N S et al. An efficient K-means clustering algorithm: analysis and implementation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 881-892(2002).

[10] Achanta R, Süsstrunk S. Superpixels and polygons using simple non-iterative clustering. [C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 4895-4904(2017).

[11] Wu C, Zhang L, Zhang H W et al. Improved superpixel-based fast fuzzy C-means clustering for image segmentation. [C]//2019 IEEE International Conference on Image Processing (ICIP), September 22-25, 2019, Taipei, Taiwan, China. New York: IEEE, 1455-1459(2019).

[12] Vincent L, Soille P. Watersheds in digital spaces: an efficient algorithm based on immersion simulations[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13, 583-598(1991).

[13] Lei T, Jia X H, Liu T L et al. Adaptive morphological reconstruction for seeded image segmentation[J]. IEEE Transactions on Image Processing, 28, 5510-5523(2019).

[14] Lei T, Zhang Y N, Wang Y et al. A conditionally invariant mathematical morphological framework for color images[J]. Information Sciences, 387, 34-52(2017).

[15] Levinshtein A, Stere A, Kutulakos K N et al. TurboPixels: fast superpixels using geometric flows[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31, 2290-2297(2009).

[16] Gong Y J, Zhou Y C. Differential evolutionary superpixel segmentation[J]. IEEE Transactions on Image Processing, 27, 1390-1404(2018).

[17] Wang H, Shen J B, Yin J B et al. Adaptive nonlocal random walks for image superpixel segmentation[J]. IEEE Transactions on Circuits and Systems for Video Technology, 30, 822-834(2020).

[18] Lu R R, Zhu F, Wu Q X et al. A fast segmenting method for scenes with stacked plate-shaped objects[J]. Acta Optica Sinica, 39, 0412003(2019).

[19] Shi J B, Malik J. Normalized cuts and image segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 888-905(2000).

[20] Moore A P. Prince S J D, Warrell J, et al. Superpixel lattices. [C]//2008 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2008, Anchorage, AK, USA. New York: IEEE, 1-8(2008).

[21] Liu M Y, Tuzel O, Ramalingam S et al. Entropy rate superpixel segmentation. [C]//Proceedings of 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 20-25, 2011, Colorado Springs, USA. New York: IEEE, 978, 97-104(2011).

[22] Shi Y X, Chen C. Non-rigid registration segmentation algorithm based on optimal Atlas multi-model image[J]. Acta Optica Sinica, 39, 0410002(2019).

[23] Guo W, Li H D, Xing Y Z. An adaptive multiphase image segmentation algorithm based on SLIC[J]. Computer Engineering & Science, 40, 1459-1467(2018).

[24] Wang J, Wang X. VCells: simple and efficient superpixels using edge-weighted centroidal Voronoi tessellations[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34, 1241-1247(2012).