- 综合性科技类中文核心期刊
- 中国科技论文统计源期刊
- 中国科学引文数据库来源期刊
- 中国学术期刊文摘数据库（核心版）来源期刊
- 中国学术期刊综合评价数据库来源期刊
| Citation: |
WU Gang, SHI Yunhui, YIN Baocai. Spherical Image-based SLIC Algorithm[J]. Journal of Beijing University of Technology, 2021, 47(3): 216-223. DOI: 10.11936/bjutxb2020090020
|
Simple linear iterative clustering (SLIC) can be applied directly to spherical images in equirectanguler projection (ERP) form. However, the damage of the correlation of the spherical data caused by projections leads to inappropriate superpixels in some areas of the ERP image, which impacts on the performance of the algorithm. To address this issue, resampling for ERP images was first applied to generate spherical image elements which are nearly uniformly distributed on the sphere. Then we rearranged those resampling data to form a novel 2D representation of a spherical image while maintaining the local correlation of spherical image data. Based on such a 2D representation, we integrated the geometrical relations of the spherical data into the SLIC algorithm and finally built a spherical image-based SLIC algorithm. The SLIC algorithm and the proposed algorithm were respectively applied to several groups of ERP images, and the superpixel segmentation results with different clustering numbers generated by the two algorithms were compared. The experiments suggest that the proposed spherical image-based SLIC algorithm outperforms the original algorithm in terms of objective quality, and can generate superpixels without the effect of the variation of the regions on the sphere. The generated superpixels also have closed-contours and present better similarity and consistency on the spherical surface.
| [1] |
XU M, LI C, ZHANG S, et al. State-of-the-art in 360° video/image processing: perception, assessment and compression[J]. IEEE Journal of Selected Topics in Signal Processing, 2020, 14(1): 5-26. doi: 10.1109/JSTSP.2020.2966864
|
| [2] |
JIA S, DENG X, ZHU J, et al. Collaborative representation-based multiscale superpixel fusion for hyperspectral image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(10): 7770-7784. doi: 10.1109/TGRS.2019.2916329
|
| [3] |
YAN J, YU Y, ZHU X, et al. Object detection by labeling superpixels[C]//2015 IEEE Conference on Computer Vision and Pattern Recognition(CVPR). Piscataway: IEEE, 2015: 5107-5116.
|
| [4] |
YANG H, ZHANG H. Efficient 3D room shape recovery from a single panorama[C]//2016 IEEE Conference on Computer Vison and Pattern Recognition (CVPR). Piscataway: IEEE, 2016: 5422-5430.
|
| [5] |
STUTZ D, HERMANS A, LEIBE B. Superpixels: an evaluation of the state-of-the-art[J]. Computer Vision and Image Understanding, 2018, 166: 1-27. doi: 10.1016/j.cviu.2017.03.007
|
| [6] |
HUMAYUN A, LI F, REHG J M. The middle child problem: revisiting parametric min-cut and seeds for object proposals[C]//IEEE International Conference on Computer Vision(ICCV). Piscataway: IEEE, 2015: 1600-1608.
|
| [7] |
ACHANTA R, SHAJI A, SMITH K, et al. SLIC superpixels compared to state-of-the-art superpixel methods[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2012, 34(11): 2274-2282. http://www.biomedcentral.com/pubmed/22641706
|
| [8] |
ZHAO Q, WAN L, ZHANG J. Spherical superpixel segmentation[C]//IEEE International Conference on Multimedia & Expo(ICME). Piscataway: IEEE, 2016: 1-6.
|
| [9] |
YANG Y, JIN S, LIU R, et al. Automatic 3D indoor scene modeling from single panorama[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Piscataway: IEEE, 2018: 3926-3934.
|
| [10] |
LEE Y, JEONG J, YUN J, et al. Sphere PHD: applying CNNs on a spherical polyhedron representation of 360deg images[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2019: 9181-9189.
|
| [11] |
GUAN H, SMITH W A P. BRISKS: binary features for spherical images on a geodesic grid[C]//IEEE Conference on Computer Vision & Pattern Recognition. Piscataway: IEEE, 2017: 4886-4894.
|
| [12] |
AGANJ I, YEO B T T, SABUNCU M R, et al. On removing interpolation and resampling artifacts in rigid image registration[J]. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 2013, 22(2): 816-827. doi: 10.1109/TIP.2012.2224356
|
| [13] |
孙文彬, 赵学胜, 高彦丽, 等. 球面似均匀格网的剖分方法及特征分析[J]. 地理与地理信息科学, 2009, 25(1): 53-56, 60.
SUN W B, ZHAO X S, GAO Y L, et al. Partition methods and character analysis of near-equal grids on spherical facet[J]. Geography and Geo-Information Science, 2009, 25(1): 53-56, 60. (in Chinese)
|
| [14] |
GOODCHILD M F, YANG S. A hierarchical spatial data structure for global geographic information systems[J]. CVGIP: Graphical Models and Image Processing, 1992, 54(1): 31-44. doi: 10.1016/1049-9652(92)90032-S
|
| [15] |
YE Y, ALSHINA E, BOYCE J. Algorithm descriptions of projection format conversion and video quality metrics in 360Lib: JVET-E1003[S]. Macau: JVET, 2017.
|
| [16] |
赵学胜, 侯妙乐, 白建军. 全球离散格网的空间数字建模[M]. 北京: 测绘出版社, 2007: 40-46.
|
| [17] |
Joint Video Exploration Team of lTU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11(JVET). JVET common test conditions and evaluation procedures for 360 video: JVET-H1030[S]. Macau: JVET, 2017.
|
| [18] |
MOORE A P, PRINCE S J D, WARRELL J, et al. Superpixel lattices[C]//2008 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2008: 1-8.
|
Supported by: Beijing Renhe Information Technology Co., Ltd. 
DownLoad: