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15th International Conference on Pattern Recognition (ICPR'00) - Volume 1
Semantically Homogeneous Segmentation with Nonparametric Region Competition
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
Ming Tang, National Laboratory of Pattern Recognition
Jing Xiao, National Laboratory of Pattern Recognition
SongDe Ma, National Laboratory of Pattern Recognition
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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