Title :
Image enhancement using watershed-based maximum homogeneity filtering
Author :
Hansen, M.W. ; Higgins, William E.
Author_Institution :
David Sarnoff Res. Center, Princeton, NJ, USA
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
Keywords :
filtering theory; image enhancement; nonlinear filters; catchment basins; filtered image; image enhancement; nonlinear filters; similar neighboring catchment basins; watershed analysis; watershed based maximum homogeneity filtering; Adaptive filters; Ear; Filtering; Image analysis; Image enhancement; Image processing; Noise reduction; Nonlinear filters; Pixel; Statistics;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.529751
