Semantically Homogeneous Segmentation with Nonparametric Region Competition

I
ICPR
2000
15th International Conference on Pattern Recognition (ICPR'00) - Volume 1
Abstract - Semantically Homogeneous Segmentation with Nonparametric Region Competition

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15th International Conference on Pattern Recognition (ICPR'00) - Volume 1

Barcelona, Spain

September 03-September 08

ISBN: 0-7695-0750-6

	ASCII Text	x
	Ming Tang, Jing Xiao, SongDe Ma, "Semantically Homogeneous Segmentation with Nonparametric Region Competition," Pattern Recognition, International Conference on, vol. 1, pp. 1648, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 1, 2000.

	BibTex	x
	@article{ 10.1109/ICPR.2000.905421, author = {Ming Tang and Jing Xiao and SongDe Ma}, title = {Semantically Homogeneous Segmentation with Nonparametric Region Competition}, journal ={Pattern Recognition, International Conference on}, volume = {1}, year = {2000}, isbn = {0-7695-0750-6}, pages = {1648}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.905421}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Semantically Homogeneous Segmentation with Nonparametric Region Competition SN - 0-7695-0750-6 SP EP A1 - Ming Tang, A1 - Jing Xiao, A1 - SongDe Ma, PY - 2000 KW - Segmentation KW - region growing KW - region competition VL - 1 JA - Pattern Recognition, International Conference on ER -

Ming Tang, National Laboratory of Pattern Recognition

Jing Xiao, National Laboratory of Pattern Recognition

SongDe Ma, National Laboratory of Pattern Recognition

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.905421

This paper presents a nonparametric region competition algorithm, which combines scale-space clustering and region competition to segment the image. It also proposes a formal and general procedure to automatically find the initial regions. Our algorithm can also segment an image into regions, which are not homogeneous in the sense of statistics, but is homogeneous in the sense of semantics with respect to the segmentation context.

Index Terms:

Segmentation, region growing, region competition

Citation:

Ming Tang, Jing Xiao, SongDe Ma, "Semantically Homogeneous Segmentation with Nonparametric Region Competition," icpr, vol. 1, pp.1648, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 1, 2000

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