The path assigned mean shift algorithm: A new fast mean shift implementation for colour image segmentation

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2008, Pages 597-600

  Pooransingh, Akash ^a   Radix, Cathy Ann ^a   Kokaram, Anil ^b  

^a UNIVERSITY OF THE WEST INDIES   (Jamaica)

^b TRINITY COLLEGE DUBLIN   (Ireland)

Author keywords

Colour; Fast mean shift; Mean shift

Indexed keywords

COLOUR; COLOUR IMAGE SEGMENTATION; FAST MEAN SHIFT; MEAN SHIFT; MEAN SHIFT ALGORITHM; NEIGHBOURHOOD; NOVEL METHODS;

ALGORITHMS; COLOR; DIGITAL IMAGE STORAGE; IMAGING SYSTEMS; VECTOR QUANTIZATION;

IMAGE SEGMENTATION;

EID: 69949191367     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2008.4711825     Document Type: Conference Paper

References (11)

1. Kai Zhang, Ming Tang, and J.T. Kwok, "Applying neighborhood consistency for fast clustering and kernel density estimation," in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on Volume 2, 20-25 June, Washington, DC, USA, 2005, pp. 1001-1007, IEEE Computer Society.
2. Dorin Comaniciu and Peter Meer, "Mean shift analysis and applications," in ICCV (2), 1999, pp. 1197-1203.
3. Yizong Cheng, "Mean shift, mode seeking, and clustering," IEEE Trans. Pattern Anal. Mach. Intell., vol. 17, no. 8, pp. 790-799, 1995.
4. D. Comaniciu and P. Meer., "Mean shift: A robust approach toward feature space analysis.," in PAMI, 24(5) May, Washington, DC, USA, 2002, pp. 603-619, IEEE Computer Society.
5. De Menthon D., "Spatio-temporal segmentation of video by hierarchical mean shift analysis," in In Proc. Statistical Methods in Video Processing Workshop, Washington, DC, USA, 2002, IEEE Computer Society.
6. Changjiang Yang, Ramani Duraiswami, Nail A. Gumerov, and Larry Davis, "Improved fast gauss transform and efficient kernel density estimation," in ICCV '03: Proceedings of the Ninth IEEE International Conference on Computer Vision, Washington, DC, USA, 2003, p. 464, IEEE Computer Society.
7. Bogdan Georgescu, Ilan Shimshoni, and Peter Meer, "Mean shift based clustering in high dimensions: A texture classification example," in ICCV '03: Proceedings of the Ninth IEEE International Conference on Computer Vision, Washington, DC, USA, 2003, p. 456, IEEE Computer Society.
8. Zhang Y. Tao W., Jin H., "Color image segmentation based on mean shift and normalized cuts," in Systems, Man and Cybernetics - Part B, IEEE Transactions on Volume 37, Issue 5, October, Washington, DC, USA, 2007, pp. 1382-1389, IEEE Computer Society.
9. D. Comaniciu, V. Ramesh, and P. Meer, "Real-time tracking of non-rigid objects using mean shift," in Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on Volume 2, 13-15 June, Washington, DC, USA, 2000, pp. 142-149, IEEE Computer Society.
10. R.T. Collins, "Mean-shift blob tracking through scale space," in Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on, Volume 2, 18-20 June, Washington, DC, USA, 2003, pp. II-234-40, IEEE Computer Society.
11. D. Comaniciu, V. Ramesh, and P. Meer, "The variable bandwidth mean shift and data-driven scale selection," in Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on Volume 1, 7-14 July, Washington, DC, USA, 2001, pp. 438-445, IEEE Computer Society. 600