Name
Abstract | ||
|---|---|---|
In this paper, a novel adaptive soft morphological Laplacian (ASML) filter is proposed, based on a combination of the ideas of the soft morphological filtering and the Laplacian operator. ASML filter is an adaptive nonlinear edge detector. The adaptivity is achieved by employing four directional structuring elements and the dynamic repetition parameter. ASML filter has the capability of selecting the directional structuring element with the maximum response, whose direction varies depending on the change of directional edges. In addition, by replacing the Laplacian operator with soft morphological one, the ASML filter provides an alternative algorithm for edge detection and noise suppression. The experimental results show that the ASML filter outperforms the traditional edge detector in the two aspects |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/CIT.2005.60 | CIT |
Keywords | Field | DocType |
noise suppression,soft morphological,adaptive edge detector,adaptive nonlinear edge detector,alternative algorithm,asml filter,novel adaptive soft morphological,laplacian operator,image denoising,mathematical morphology,directional structuring element,directional edge,adaptive filters,edge detection,soft mathematical morphology,traditional edge detector,adaptive soft morphological laplacian filter | Nonlinear system,Computer science,Edge detection,Real-time computing,Structuring element,Adaptive filter,Artificial intelligence,Computer vision,Mathematical morphology,Algorithm,Filter (signal processing),Kernel adaptive filter,Laplace operator | Conference |
ISBN | Citations | PageRank |
0-7695-2432-X | 0 | 0.34 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoxin Guo | 1 | 19 | 6.03 |
| Zhiwen Xu | 2 | 24 | 6.64 |
| Yinan Lu | 3 | 19 | 6.62 |
| Yunjie Pang | 4 | 18 | 5.61 |