Aligning two images by point to point correspondence is a hard optimization problem. It
can be solved using t-Extremal Optimization or with a modification of this method called
Fitness threshold accepting. In this work these two methods are tested and compared to
see whether one of the methods should be preferred for image alignment. Since real image
data is almost always noisy the performance of the methods under conditions like noisy and
outlying data is analyzed too.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:19178 |
| Date | 31 May 2006 |
| Creators | Wagner, Katharina |
| Contributors | Technische Universität Chemnitz |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | doc-type:bachelorThesis, info:eu-repo/semantics/bachelorThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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