Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1990 · 19 citations · 0 references
EngineeringFeature DetectionStatistical Shape AnalysisBiometricsShape AnalysisImage AnalysisPattern RecognitionEdge DetectionComputational GeometryShape RepresentationGeometric ModelingBoundary CurveMachine VisionGabor ExpansionShape Descriptor DomainMedical Image ComputingComputer VisionBoundary CurvesNatural SciencesShape Modeling
De8cription of boundary curves (shapes) is an important problem in image processing and pattern recognition. During the last two decades there have been a variety of approaches to the problem. Among these approaches the Fourier description (FD) techniques seem to be the most promising in extracting the features of an object. But the problem of the FD techniques that have been practised is the difficulty in describing local information. A modified FD technique is suggested in this paper which use a combined I requencyposition space as the shape descriptor domain. This new set of position-dependent Fourier descriptors provides the best spectral information along the boundary curve. Experimental results are presented in this paper. 1.