Name
Abstract | ||
|---|---|---|
Features that capture well the textural patterns of a certain class of images are crucial for the performance of texture segmentation methods. The manual selection of features or designing new ones can be a tedious task. Therefore, it is desirable to automatically adapt the features to a certain image or class of images. Typically, this requires a large set of training images with similar textures... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIP.2018.2792904 | IEEE Transactions on Image Processing |
Keywords | DocType | Volume |
Image segmentation,Computational modeling,Cost function,Mathematical model,Training data,Data models | Journal | 27 |
Issue | ISSN | Citations |
4 | 1057-7149 | 4 |
PageRank | References | Authors |
0.39 | 26 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Kiechle | 1 | 33 | 1.84 |
| Martin Storath | 2 | 138 | 12.69 |
| andreas weinmann | 3 | 138 | 12.81 |
| Martin Kleinsteuber | 4 | 189 | 20.30 |