A seaport terminal providing services for inbound and outbound flow of cargo container often has issues with the handling of container. In some cases, the port is sued for damaged container which in fact has not been taken care properly before arriving in the port. Hence an automatic detection system for damaged container is needed. In this research, an algorithm to identify objects in a side-view of a cargo container is proposed. The objects include but not limited to company name of the cargo container, logo, identification code, signs, labels, and damages. By utilizing template matching algorithm, an algorithm to identify objects in container images has been developed. The achieved visual result was satisfactory as well as the computational aspect.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Template Matching Algorithm For Noise Detection in Cargo Container


    Contributors:


    Publication date :

    2018-10-01


    Size :

    711155 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Cargo Container

    European Patent Office | 2018

    Free access


    Cargo Container

    KUSCHMEADER LUKE / KUMMERFELD JAMIE / QUINTUS JIM et al. | European Patent Office | 2023

    Free access

    CARGO CONTAINER

    ARAKI MANABU / ARAKI TORU | European Patent Office | 2023

    Free access

    Face Detection Based on Template Matching and 2DPCA Algorithm

    Wang, Jizeng / Yang, Hongmei | IEEE | 2008