Handling of impreciseness in gray level corner detection using fuzzy set theoretic approach

@article{Banerjee2008HandlingOI,
  title={Handling of impreciseness in gray level corner detection using fuzzy set theoretic approach},
  author={Minakshi Banerjee and Malay Kumar Kundu},
  journal={Appl. Soft Comput.},
  year={2008},
  volume={8},
  pages={1680-1691}
}
Reliable corner detection is an important task in determining shape of different regions in an image. To detect corners in a gray level image under imprecise information, an algorithm based on fuzzy set theoretic model is proposed. The uncertainties arising due to various types of imaging defects such as blurring, illumination change, noise, etc., usually result in missing of significant curvature junctions (corners). Fuzzy set theory based modeling is well known for efficient handling of… CONTINUE READING

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