Abstract
A new class of image processing filters is introduced and analyzed in this paper. The new filters utilize fuzzy measures applied to image pixels connected by digital paths. The performance of the proposed filters is compared to the performance of commonly used filters, such as the vector median, under a variety of performance criteria. It is shown that the proposed filters are better able to suppress impulsive and Gaussian noise than the existing techniques. Also, they are robust to inaccuracies in parameter settings.
| Original language | English |
|---|---|
| Pages (from-to) | 283-305 |
| Number of pages | 23 |
| Journal | Discrete Applied Mathematics |
| Volume | 139 |
| Issue number | 1-3 |
| DOIs | |
| Publication status | Published - 30 Apr 2004 |
| Event | 2001 International Workshop on Combinatorial Image Analysis (IWCIA 2001) - Philadelphia, PA, United States Duration: 23 Aug 2001 → 24 Aug 2001 |
Keywords
- Color image processing
- Fuzzy filters
- Geodesic paths
- Noise reduction
- Random walks
ASJC Scopus subject areas
- Discrete Mathematics and Combinatorics
- Applied Mathematics
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