Binär matchning av bilder med hjälp av vektorer från deneuklidiska avståndstransformen
TechnologyEuklidiska avståndstransformenAvståndsvektorerAvståndskartaBildmatchningEuclidean Distance TransformDistance vectorsDistance mapImage matchingTEKNIKVETENSKAP
This thesis shows the result from investigations of methods that use distance vectors when matching pictures. The distance vectors are available in a distance map made by the Euclidean Distance Transform. The investigated methods use the two characteristic features of the distance vector when matching pictures, length and direction. The length of the vector is used to calculate a value of how good a match is and the direction of the vector is used to predict a transformation to get a better match. The results shows that the number of calculation steps that are used during a search can be reduced compared to matching methods that only uses the distance during the matching.