The detection of dominant points on digital curves by scale-space filtering

@article{Pei1992TheDO,
  title={The detection of dominant points on digital curves by scale-space filtering},
  author={Soo-Chang Pei and Chao-Nan Lin},
  journal={Pattern Recognition},
  year={1992},
  volume={25},
  pages={1307-1314}
}
-The detection of dominant points is an important preprocessing step for shape recognition. An effective method of scale-space filtering with a Gaussian kernel is introduced to detect dominant points on digital curves. The conventional polygonal approximation algorithms are time-consuming and need input parameter tuning for Gaussian smoothing the noise and quantization error, also they are sensitive to scaling and rotation of the object curve. The above dit~culty can be overcome by finding out… CONTINUE READING

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