During the process of pear damage detection based on computer vision, there are many noise in image acquisition. For a long time, rapid detection equipment cannot be utilized to identify pear damage. To solve this problem, a method of identifying damage pear is studied. This paper proposes a method for pear damage identification based on geometric features. First, with morphological method to remove the noise of pearimage to obtain the best edge detection method and best threshold suitable to the pear damage, so as to detect the damaged edge of the image. The experimental results show that this method can effectively identify the damaged pear. Compared with conventional edge detection method, the recognition accuracy has been significantly improved, and solve the long-standing problem of automatic identification and improve the detection efficiency of pear damage.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Damage Detection Method for Pear Based on Computer Vision



    Erschienen in:

    Applied Mechanics and Materials ; 644-650 ; 1050-1053


    Erscheinungsdatum :

    22.09.2014


    Format / Umfang :

    4 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Lightweight pear detection algorithm based on improved YOLOv5

    Hu, Xiaomei / Zhang, Yunyou / Chen, Yi et al. | SPIE | 2023


    COMPUTER VISION AIRCRAFT DETECTION

    EIDELBERG ARKADY / GREENWOOD SEAN | Europäisches Patentamt | 2022

    Freier Zugriff

    Computer vision aircraft detection

    EIDELBERG ARKADY / GREENWOOD SEAN | Europäisches Patentamt | 2024

    Freier Zugriff

    COMPUTER VISION AIRCRAFT DETECTION

    EIDELBERG ARKADY / GREENWOOD SEAN | Europäisches Patentamt | 2022

    Freier Zugriff

    Machine vision-based tire image acquisition device and damage detection method

    WEN XIULAN / LI ZIKANG / JIAO LIANGBAO et al. | Europäisches Patentamt | 2023

    Freier Zugriff