Publication | Open Access
Subpixel Edge Detection Based on Edge Gradient Directional Interpolation and Zernike Moment
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2018
Year
EngineeringFeature DetectionMoment TemplateEdge Detection AccuracyImage AnalysisMathematical MorphologyPattern RecognitionEdge DetectionHealth SciencesMachine VisionZernike MomentMedical ImagingEdge NeighborsMedical Image ComputingImage EnhancementOptical Image RecognitionComputer VisionSubpixel Edge DetectionTexture AnalysisImage Segmentation
In the paper, we propose a new subpixel edge detection approach based on edge gradient directional interpolation and Zernike orthogonal moment. Due to the interpolation of the edge neighbors, the proposed method is able to enrich the edge information and ensure that there is only one edge inside the moment template. The enriching of edge information not only increases the detection accuracy of the moment based method but also increases the number of detected subpixel edge points. Experimental results show that the proposed method can greatly increase the edge detection accuracy and avoid the edge interference when there are complex edges in the image.