Image enhancement using watershed-based maximum homogeneity filtering

Michael W. Hansen, William Evan Higgins

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

We introduce an image enhancement method referred to as watershed-based maximum homogeneity filtering. This enhancement technique uses watershed analysis to initially cluster groups of similar connected pixels into catchment basins. Similar neighboring catchment basins are then averaged together to compute the filtered image. As illustrative results show, this technique compares well to other popular nonlinear filters.

Original languageEnglish (US)
Pages482-485
Number of pages4
StatePublished - Jan 1 1996
EventProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) - Washington, DC, USA
Duration: Oct 23 1995Oct 26 1995

Other

OtherProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3)
CityWashington, DC, USA
Period10/23/9510/26/95

Fingerprint

Image enhancement
Watersheds
Catchments
Pixels

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Hansen, M. W., & Higgins, W. E. (1996). Image enhancement using watershed-based maximum homogeneity filtering. 482-485. Paper presented at Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3), Washington, DC, USA, .
Hansen, Michael W. ; Higgins, William Evan. / Image enhancement using watershed-based maximum homogeneity filtering. Paper presented at Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3), Washington, DC, USA, .4 p.
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year = "1996",
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Hansen, MW & Higgins, WE 1996, 'Image enhancement using watershed-based maximum homogeneity filtering', Paper presented at Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3), Washington, DC, USA, 10/23/95 - 10/26/95 pp. 482-485.

Image enhancement using watershed-based maximum homogeneity filtering. / Hansen, Michael W.; Higgins, William Evan.

1996. 482-485 Paper presented at Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3), Washington, DC, USA, .

Research output: Contribution to conferencePaper

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N2 - We introduce an image enhancement method referred to as watershed-based maximum homogeneity filtering. This enhancement technique uses watershed analysis to initially cluster groups of similar connected pixels into catchment basins. Similar neighboring catchment basins are then averaged together to compute the filtered image. As illustrative results show, this technique compares well to other popular nonlinear filters.

AB - We introduce an image enhancement method referred to as watershed-based maximum homogeneity filtering. This enhancement technique uses watershed analysis to initially cluster groups of similar connected pixels into catchment basins. Similar neighboring catchment basins are then averaged together to compute the filtered image. As illustrative results show, this technique compares well to other popular nonlinear filters.

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Hansen MW, Higgins WE. Image enhancement using watershed-based maximum homogeneity filtering. 1996. Paper presented at Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3), Washington, DC, USA, .