Publication | Closed Access
<title>Texture identification and image segmentation via Fourier transform</title>
12
Citations
5
References
2001
Year
Machine VisionImage AnalysisMedical ImagingFeature DetectionPattern RecognitionImage RegistrationBiometricsMagnitude SpectrumEngineeringEdge DetectionTexture IdentificationTexture AnalysisTexture ImageMedical Image ComputingImage SegmentationComputer VisionHealth Sciences
Even though the edges of a texture image may have various orientations and their locations in the image may be random, for the magnitude of Fourier transform of the image, the contribution of all edges with the same orientation will be stacked up in the orientation being perpendicular to the edges. This special phenomenon is called as auto-registration of the magnitude spectrum. In this paper we propose a method to exploit the auto-registration property of the magnitude spectra for texture identification and image segmentation.
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