A Combined Shape-Newton and Topology Optimization Technique in Real-Time Image Segmentation
| dc.contributor.author | Hintermüller, M. | en_US |
| dc.date.accessioned | 2018-06-18T17:52:01Z | en_US |
| dc.date.available | 2018-06-18T17:52:01Z | en_US |
| dc.date.issued | 2004-07 | en_US |
| dc.date.note | July 2004 | en_US |
| dc.description.abstract | In this paper, for solving a class of shape optimization problems, a new algorithmic concept combining shape and topological sensitivities is presented. The geometry of interest is represented by means of geometrical implicit functions. While the topology optimization phase is based on a gradient descent scheme, the phase based on shape sensitivity uses Newton-type descent flows. The algorithm is applied to edge detector based image segmentation problems, but it can be extended to solve more general shape optimization problems as well. | en_US |
| dc.format.extent | 24 pp | en_US |
| dc.identifier.citation | Hintermüller, M.. "A Combined Shape-Newton and Topology Optimization Technique in Real-Time Image Segmentation." (2004) <a href="https://hdl.handle.net/1911/102022">https://hdl.handle.net/1911/102022</a>. | en_US |
| dc.identifier.digital | TR04-10 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1911/102022 | en_US |
| dc.language.iso | eng | en_US |
| dc.title | A Combined Shape-Newton and Topology Optimization Technique in Real-Time Image Segmentation | en_US |
| dc.type | Technical report | en_US |
| dc.type.dcmi | Text | en_US |
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