As people pay more and more attention to computer vision, many methods for edge detection have been created. However, these methods also have certain loopholes. The current popular "Canny operator" also lacks the selection value and improper use of sub-methods, resulting in the object edge detection weak edges cannot be detected clearly, some types of noise cannot be avoided. In this paper, the method of "Canny operator" is improved to achieve more accurate detection results. By preprocessing a certain image and comparing the results with the results of the original "Canny operator", we can draw the corresponding conclusions. This article through the improvement of the traditional "Canny operator", The influence of subtle noise on the picture can be properly avoided, and weak edges can also be clearly presented. And subsequent computer vision work has a relatively large impact.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Noise-aware Canny Algorithm for Edge Detection


    Beteiligte:
    Yuan, Yitong (Autor:in)


    Erscheinungsdatum :

    12.10.2022


    Format / Umfang :

    1136163 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    An Adaptive Edge Detection Algorithm Based on Improved Canny

    Yang, Aolei / Jiang, Weiwei / Chen, Ling | Springer Verlag | 2017


    The Canny Edge Detector Revisited

    McIlhagga, W. | British Library Online Contents | 2011


    Overview of Canny Edge Detection and Hough Transform for Lane Detection

    Shriwas, R.N. / Bodkhe, Yash / Mane, Anushka et al. | IEEE | 2024


    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

    CANNY EDGE DETECTION BASED REAL-TIME INTELLIGENT PARKING MANAGEMENT SYSTEM

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

    Freier Zugriff