Detecting Edges in Noisy Face Database Images

@article{Qahwaji2003DetectingEI,
  title={Detecting Edges in Noisy Face Database Images},
  author={Rami Qahwaji},
  journal={I. J. Comput. Appl.},
  year={2003},
  volume={10},
  pages={185-197}
}
In this paper, a morphological-based system for detecting edges in reallife images is presented. The corner stone for this system is the hit-miss transform, which provides good performance in reallife images under noise conditions. The classical implementation of this transform suffers from drawbacks that are tackled in this paper. The new modified hit-miss transform is introduced to provide better edge detection and noise handling. The performance of the modified hit-miss transform is… CONTINUE READING

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