Computer Science ›› 2016, Vol. 43 ›› Issue (Z6): 191-193.doi: 10.11896/j.issn.1002-137X.2016.6A.045

Previous Articles     Next Articles

Adaptive Image Segmentation Using Affinity Propagation Clustering

DAI Shan and LI Guang-jun   

  • Online:2018-12-01 Published:2018-12-01

Abstract: This paper presented a unified approach for automatic image segmentation.In order to segment the image into homogenous regions,a two-stage method was proposed.Firstly,an improved simple linear iterative clustering method is adopted for the over-segmentation of the image.Then,color moments of each local region are computed to represent the region,and the affinity propagation clustering is adopted to merge the regions which are segmented in the first stage.Numerous experiments were conducted on public available datasets to demonstrate the effectiveness and robustness of the proposed algorithm.

Key words: Image segmentation,Over-segmentation,Color moments,Affinity propagation clustering

[1] Arbelaez P,Maire M,Fowlkes C,et al.Contour detection andhierarchical image segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,33(5):898-916
[2] Van den Bergh M,Boix X,Roig G,et al.Seeds:Superpixels extracted via energy-driven sampling[C]∥European Conference on Computer Vision.2012:13-26
[3] Wu J,Zhao Y,Zhu J Y,et al.Milcut:A sweeping line multiple instance learning paradigm for interactive image segmentation[C]∥IEEE Conference on Computer Vision and Pattern Recognition (CVPR).2014:256-263
[4] Borji A,Cheng M M,Jiang H,et al.Salient object detection:A survey.http://arxiv.org/abs/1411.5878
[5] Borji A,Cheng M M,Jiang H,et al.Salient object detection:A benchmark [J].IEEE Transaction on Image Processing,2015,4(12)
[6] Arbelaez P,Pont-Tuset J,Barron J,et al.Multiscale combinatorial grouping[C]∥IEEE Conference on Computer Vision and Pattern Recognition (CVPR).2014:328-335
[7] Boykov Y,Kolmogorov V.An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2004,26(9):1124-1137
[8] Rother C,Kolmogorov V,Blake A.Grabcut:Interactive fore-ground extraction using iterated graph cuts[J].ACM Transactions on Graphics (TOG),2004,23(3):309-314
[9] Grady L.Random walks for image segmentation[J].IEEETransactions on Pattern Analysis and Machine Intelligence,2006,28(11):1768-1783
[10] Zimmer C,Labruyere E,Meas-Yedid V,et al.Segmentation and tracking of migrating cells in videomicroscopy with parametric active contours:A tool for cell-based drug testing[J].IEEE Transactions on Medical Imaging,2002,21(10):1212-1221

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!