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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mehrtash, A. Vahdat, S. Zadeh, H.S. |
| Copyright Year | 2006 |
| Description | Author affiliation: Tehran Univ., Tehran (Mehrtash, A.) |
| Abstract | Smoothing, while preserving edges, has always been a major challenge in image processing. In this paper, we propose a new approach that uses segmentation in order to avoid inter-region smoothing thus preserving the edges. It is common to smooth the image prior to region growing. The opposite procedure does not work properly in the presence of noise since region growing is very noise sensitive. To overcome this difficulty we adapted a robust region growing algorithm. Since region growing is very resource consuming, we do not perform it for every pixel. Instead, we divide the image into a number of overlapping blocks for which we carry out the segmentation. Then, we use the results for some of the core pixels in that block. Now that the regions are known, we proceed to smooth each region by a fuzzy approach emphasizing the pixels residing in it. The performance of this filter is compared to that of the bilateral filter and it is shown that the new method generates superior results. |
| Starting Page | 1748 |
| Ending Page | 1755 |
| File Size | 1307011 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780394887 |
| DOI | 10.1109/FUZZY.2006.1681942 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-07-16 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Smoothing methods Filters Anisotropic magnetoresistance Filtering Pixel Image segmentation Noise robustness Noise reduction Image processing Partial differential equations |
| Content Type | Text |
| Resource Type | Article |
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