Structuring Element Representation of an Image and Its Applications

  • Oh, Jin-Sung (School of Electrical Engineering, Halla University)
  • Published : 2004.12.01

Abstract

In this paper we present the linear combination of a fuzzy opening and closing filter with locally adaptive structuring elements that can preserve the geometrical features of an image. Based on the adaptation algorithm of linear combination of the fuzzy opening and closing filter, the optimal structuring element for image representation is obtained. The optimal structuring element is an indicator of the shape and direction of an object's image, which is useful in filtering, multi resolution, segmentation, and recognition of an image.

Keywords

References

  1. J. Visual Comm. Image Representation v.3 no.3 Fuzzy mathematical morphology D. Sinha;E. R. Dougherty https://doi.org/10.1016/1047-3203(92)90024-N
  2. IEICE Trans. Inf. Syst. v.E84-D no.4 Speckle reduction for ultrasonic images using fuzzy morphology E. Avianto;M. Ito
  3. IEICE Trans. Inf. Syst. v.E85-D no.1 Edge enhancement of ultrasonic images by morphological operations based on locally variable structuring elements M. Tsubai;M. Ito
  4. Electronics Letters v.34 no.16 Weighted morphological filter M. H. Sedaaghi;Q. H. Wu https://doi.org/10.1049/el:19981117
  5. Multi. Systems Signal Process. v.11 Adaptive fuzzy morphological filtering of impulse noise in images J. Oh;L.F. Chaparro https://doi.org/10.1023/A:1008486530629
  6. IEEE Inter. Conf. on ASSP v.5 Linear combinations of morphological operators: The midrange, pseudo-median, and LOCO filters M. A. Schulze;J. A. Pearce
  7. Pattern Recognition v.25 no.2 Detection of sigular points in fingerprint images V. S. Sprinivasan;N. N. Murthy https://doi.org/10.1016/0031-3203(92)90096-2
  8. Pattern Recognition v.30 no.9 Geometric framework for fingerprint image classification M. M. S. Chong;T. H. Ngee;L. Jun;R. K. L. Gay https://doi.org/10.1016/S0031-3203(96)00178-1
  9. IEEE Trans. on Image Process. v.4 no.8 Flat zone filtering, connected operators, and filters by reconstruction P. Salembier;J. Serra https://doi.org/10.1109/83.403422
  10. IEEE Inter. Conf. on ASSP v.3 Morphological methods in image coding Z. Zhou;A. N. Venetsanopoulos
  11. Proc. 5th Annual Confer. Advanced School for Computing and Imaging VlietA quantitative measure for the perception of sharpening and smoothing in images J. Dijk;D. Ridder;P. W. Verbeek;J. Walraven;I. T. Young;L. J. Vliet