Adaptive Image Edge Extraction Based on Discrete Algorithm and Classical Canny Operator
Phusit Kanchanatripop, Dafang Zhang
Abstract
In order to improve the accuracy of image edge detection, this paper studies the adaptive image edge detection technology based on discrete algorithm and classical Canny operator. First, the traditional sub-pixel edge detection method is illustrated based on the related literature research. Then, Canny operator is used for detection, the edge model of the quadric curve is established using discrete data, and the adaptive image edge parameters are obtained using one-dimensional gray moment. Experimental results show that the accuracy of feature detection is 99%, which can be applied to the practice of image edge detection to a certain extent.
Topics & Concepts
Deriche edge detectorCanny edge detectorImage gradientEdge detectionArtificial intelligenceOperator (biology)AlgorithmImage (mathematics)Feature detection (computer vision)Computer scienceComputer visionMathematicsQuadricEnhanced Data Rates for GSM EvolutionPixelPattern recognition (psychology)Image processingBiochemistryGeneRepressorChemistryPure mathematicsTranscription factorDigital Media and Visual ArtAI and Big Data ApplicationsMedical Image Segmentation Techniques