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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Maragos, P. Meyer, F. |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Electr. & Computer. Eng., Nat. Tech. Univ. of Athens, Greece (Maragos, P.) |
| Abstract | We present a nonlinear partial differential equation (PDE) that models the generation of a large class of advanced morphological filters, the levelings and the openings/closings by reconstruction. These types of filters are very useful in numerous image analysis and vision tasks ranging from enhancement, feature detection, image simplification, to segmentation. The developed PDE models these nonlinear filters as the limit of a controlled growth starting from an initial seed signal. This growth is of the multiscale dilation or erosion type and the controlling mechanism is a switch that reverses the growth when the difference between the current evolution and a reference signal switches signs. We discuss theoretical aspects of this PDE, propose a discrete algorithm for its numerical solution and corresponding filter implementation, and provide insights via several experiments. Finally, we outline its use for improving the Gaussian scale-space by using the latter as initial seed to generate multiscale levelings that have a superior preservation of image edges and boundaries. |
| Starting Page | 938 |
| Ending Page | 941 |
| File Size | 523429 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780362977 |
| ISSN | 15224880 |
| DOI | 10.1109/ICIP.2000.899871 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-09-10 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image reconstruction Filters Computer vision Switches Image edge detection Partial differential equations Mathematical model Physics Geometry Smoothing methods |
| Content Type | Text |
| Resource Type | Article |
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