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Modeling edges at subpixel accuracy using the local energy approach
64
Citations
15
References
1994
Year
EngineeringFeature DetectionCandidate EdgeComputer-aided DesignEdge ModelsMulti-resolution MethodRobust FeatureImage AnalysisData SciencePattern RecognitionImage-based ModelingFeature (Computer Vision)Computational ImagingGeometrical AccuracyEdge DetectionComputational GeometryGeometry ProcessingGeometric ModelingMachine VisionInverse ProblemsComputer ScienceMedical Image ComputingComputer VisionEdge Feature ExtractionLocal Energy ApproachNatural SciencesImage Segmentation
In this paper we describe a new technique for ID and 2D edge feature extraction to subpixel accuracy using edge models and the local energy approach. A candidate edge is modeled as one of a number of parametric edge models, and the fit is refined by a least-squared error fitting technique.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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