1 November 1992 Compared performances of morphological, median type, and running mean filters
Author Affiliations +
Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131456
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
In this paper, performances of basic morphological filters are evaluated. Very simple output distribution expressions of erosions and openings are given for independent non-identically distributed inputs. The output means and variances for input signals plus white Gaussian, bi- exponential, and uniform noises are then analyzed and computed. These results are used to compare the performances of morphological filters with those of median filters, (alpha) - trimmed mean filters, ranked-order filters and running mean filters. The comparisons show that morphological filters achieve the best edge preservation for all the three kinds of noises. As regards to noise suppression, morphological filters are the best ones for uniform noise, median filters are optimal for bi-exponential noise, and running mean filters are optimal for Gaussian noise. Performances of (alpha) -trimmed mean filters spread between those of median and linear filters, while performances of ranked-order filters are compromises between those of erosions (or dilation) and median filters.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Demin Wang, Joseph Ronsin, and Veronique Haese-Coat "Compared performances of morphological, median type, and running mean filters", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131456; https://doi.org/10.1117/12.131456


Recursive FatBear filter
Proceedings of SPIE (April 30 1994)
Edge and corner preserving smoothing for artistic imaging
Proceedings of SPIE (February 26 2007)
Behavior of adaptive digital erosions
Proceedings of SPIE (October 07 1996)

Back to Top