10.07.2015 Views

Definiens Developer 7 - PCI Geomatics

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<strong>Definiens</strong> <strong>Developer</strong> 7 - Reference Book3 Algorithms ReferenceCandidate SettingsEnable Candidate ClassesSelect Yes to activate candidate classes. If the candidate classes are disabled thealgorithm will behave like a region merging.Candidate ClassesChoose the candidate classes you wish to consider.If the candidate classes are distinct from the classes in the image object domain(representing the seed classes), the algorithm will behave like a region growing.Fitting FunctionThe fusion settings specify the detailed behavior of the image object fusion algorithm.Fitting ModeChoose the fitting mode.Valueall fittingfirst fittingbest fittingall best fittingbest fitting if mutualmutual best fittingDescriptionMerges all candidates that match the fitting criteria with the seed.Merges the first candidate that matches the fitting criteria with theseed.Merges the candidate that matches the fitting criteria in the bestway with the seed.Merges all candidates that match the fitting criteria in the best waywith the seed.Merges the best candidate if it is calculated as the best for both ofthe two image objects (seed and candidate) of a combination.Executes a mutual best fitting search starting from the seed. Thetwo image objects fitting best for both will be merged. Note: Theseimage objects that are finally merged may not be the seed and oneof the original candidate but other image objects with an evenbetter fitting.Fitting Function ThresholdSelect the feature and the condition you want to optimize. The closer a seed candidatepair matches the condition the better the fitting.Use Absolute Fitting ValueEnable to ignore the sign of the fitting values. All fitting values are treated as positivenumbers independent of their sign.Weighted SumDefine the fitting function. The fitting function is computed as the weighted sum offeature values. The feature selected in the Fitting function threshold will be calculated44

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