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- W2102023676 abstract "How to use a polygon with the fewest possible sides to approximate a shape boundary is an important issue in pattern recognition and image processing. A novel split-and-merge technique(SMT) is proposed. SMT starts with an initial shape boundary segmentation, split and merge are then alternately done against the shape boundary. The procedure is halted when the pre-specified iteration number is achieved. For increasing stability of SMT and improving its robustness to the initial segmentation, a ranking-selection scheme is utilized to choose the splitting and merging points. The experimental results show its superiority." @default.
- W2102023676 created "2016-06-24" @default.
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- W2102023676 date "2006-01-01" @default.
- W2102023676 modified "2023-10-12" @default.
- W2102023676 title "A Novel Split-and-Merge Technique for Error-Bounded Polygonal Approximation" @default.
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- W2102023676 doi "https://doi.org/10.1007/11893257_37" @default.
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