Approximation by Shepard type pseudo-linear operators and applications to Image Processing
| Title | Approximation by Shepard type pseudo-linear operators and applications to Image Processing |
| Publication Type | Journal Article |
| Year of Publication | 2009 |
| Authors | Bede, B., E. D. Schwab, H. Nobuhara, and I. J. Rudas |
| Journal | INTERNATIONAL JOURNAL OF APPROXIMATE REASONING |
| Volume | 50 |
| Issue | 1 |
| Pagination | 21 - 36 |
| Date Published | 2009 |
| Publication Language | eng |
| Abstract | Recently, it has been shown that sum and product are not the only operations that can be used in order to define concrete approximation operators. Several other operations provided by fuzzy sets theory can be used. In the present paper, pseudo-linear approximation operators are investigated from the practical point of view in Image Processing. We study max-min, max-product Shepard type approximation operators together with Shepard operators based oil pseudo-operations generated by an increasing continuous generator. It is shown that in several cases these outperform classical approximation operators based on sum and product operations. (c) 2008 Elsevier Inc. All rights reserved. |