Name
Title | ||
|---|---|---|
Three-Layer Image Representation by an Enhanced Illumination-based Image Fusion Method. |
Abstract | ||
|---|---|---|
The recently developed multiscale-based fusion methods can be improved with two approaches: an advanced image decomposition scheme and an advanced fusion rule. In this paper, three-layer image decomposition, enhanced illumination fusion rule-based method is proposed. The proposed method includes three steps. First, each input image is decomposed into its corresponding smooth, texture, and edge layers using defined local extrema and low-pass filters in the spatial domain. Second, three different strategies are applied as fusion rules for the three-layer representation. To preserve the illumination closely related to tumors, the illumination is corrected by applying a higher contrast to the decomposed image details, including the texture and edge inputs, such as those found in grayscale CT and MRI images. The final fused image is created by the addition of the normalized smooth, texture, and edge image layers. The experiments demonstrate that the proposed method performs better than the existing state-of-the-art fusion methods. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/JBHI.2019.2930978 | IEEE journal of biomedical and health informatics |
Keywords | DocType | Volume |
Image edge detection,Lighting,Image fusion,Image representation,Information filters,Image decomposition | Journal | 24 |
Issue | ISSN | Citations |
4 | 2168-2194 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiao Du | 1 | 68 | 10.21 |
| Weisheng Li | 2 | 37 | 19.68 |
| Hengliang Tang | 3 | 0 | 0.34 |