Automatic superpixel generation algorithm based on a quadric error metric in 3D space-Reference-Cited by-同舟云学术

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Automatic superpixel generation algorithm based on a quadric error metric in 3D space

Published:2016-09-28 Issue:3 Volume:11 Page:471-478
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Zhang Yongxia,Ma Long,Zhou Yuanfeng,Zhang Caiming

Funder

National Natural Science Foundation of China

NSFC Joint Fund with Guangdong

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://link.springer.com/content/pdf/10.1007/s11760-016-0983-5.pdf

Reference27 articles.

1. Xie, Y., Xu, L., Wang, Z.: Automated co-superpixel generation via graph matching. Signal Image Video Process. 8(4), 753–763 (2014)

2. Du, Q., Gunzburger, M., Ju, L., et al.: Centroidal Voronoi tessellation algorithms for image compression, segmentation, and multichannel restoration. J. Math. Imaging Vis. 24(2), 177–194 (2006)

3. Wang, J., Ju, L., Wang, X.: An edge-weighted centroidal Voronoi tessellation model for image segmentation. IEEE Trans. Image Process. 18(8), 1844–1858 (2009)

4. Liu, J., Tai, X., Huang, H., et al.: A fast segmentation method based on constraint optimization and its applications: intensity inhomogeneity and texture segmentation. Pattern Recogn. 44(9), 2093–2108 (2011)

5. Wang, J., Wang, X.: VCells: simple and efficient superpixels using edge-weighted centroidal Voronoi tessellations. IEEE Trans. Pattern Anal. Mach. Intell. 34(6), 1241–1247 (2012)

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