Abstract Edge detection is the key to image processing and has a significant impact on the high level of description, classification and matching of subsequent images. The traditional Canny algorithm requires human intervention in the selection of Gaussian function and its fixed parameters. To solve these problems, an improved algorithm based on Canny algorithm is proposed in this paper. The approach introduces the edge preserving filter to replace the original Gaussian filter, and calculates the magnitude and direction of image gradient with a new designed templates from x direction, y direction, and two oblique directions (45°, 135°). Meanwhile, the Otsu algorithm is used to calculate the thresholds, which avoids the problem that the thresholds need to be set repeatedly. The proposed method is successfully applied to the metal plate detection system. Experimental results show that the algorithm has good performance in bright and dark domains.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Adaptive Edge Detection Algorithm Based on Improved Canny


    Beteiligte:
    Yang, Aolei (Autor:in) / Jiang, Weiwei (Autor:in) / Chen, Ling (Autor:in)


    Erscheinungsdatum :

    01.01.2017


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    The Canny Edge Detector Revisited

    McIlhagga, W. | British Library Online Contents | 2011


    Density based smart traffic control system using canny edge detection algorithm along with object detection

    Ledalla Sukanya / Gurram Vijendar Reddy / P Gopala Krishna et al. | DOAJ | 2023

    Freier Zugriff

    Research and Application of Railway Turnout Gap Detection Based on Improved Canny Algorithm

    Liu, Xinpeng / Sun, Runyuan / Liang, Zhifeng | British Library Conference Proceedings | 2022


    CANNY EDGE DETECTION BASED REAL-TIME INTELLIGENT PARKING MANAGEMENT SYSTEM

    Janak TRIVEDI / Mandalapu Sarada DEVI / Dave DHARA | DOAJ | 2020

    Freier Zugriff