Detecting Edges in Noisy Face Database Images

  title={Detecting Edges in Noisy Face Database Images},
  author={Rami Qahwaji},
  journal={I. J. Comput. Appl.},
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


Publications citing this paper.
Showing 1-3 of 3 extracted citations


Publications referenced by this paper.
Showing 1-10 of 43 references

Schefar, “Multilevel Hit-Miss Transform for Object Detection,

  • B. D. Casasent
  • Proceedings of SPIE,
  • 1994
Highly Influential
9 Excerpts

Hexagonal Hit-Miss Edge Detector,

  • R. Qahwaji, R. Green
  • Proceedings of IEE CATEE99,
  • 1999
Highly Influential
5 Excerpts

A Fuzzy Approach to Determine Morphological Thinning Algorithms for Fast Removal of Unwanted Skeletal Legs,

  • C. Lee, S. Wong
  • Engineering Application of Artificial…
  • 1995
Highly Influential
4 Excerpts

Non-linear Optical Hit-Miss Transform for Detection,

  • B. Schefar, D. Casasent
  • Applied Optics, Special Section on “Non-linear…
  • 1995
Highly Influential
4 Excerpts

Optical Morphological Processors: Grey-scale With Binary Structuring Elements, Detection And Clutter Reduction,

  • B. Schefar, D. Casasent, A. Ye
  • Proceedings of SPIE Conference in Intelligent…
  • 1992
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…