YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Manufacturing Science and Engineering
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Manufacturing Science and Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Evaluation of Scanning Parameters Based on Image Entropy for Dimensional Computed Tomography Metrology

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 007::page 71001
    Author:
    Xue, Lin
    ,
    Suzuki, Hiromasa
    DOI: 10.1115/1.4035676
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Many types of artifacts appear in X-ray computed tomography (CT) volume data, which influence measurement quality of industrial cone beam X-ray CT. Most of those artifacts are associated to CT scanning parameters; therefore, a good scanning parameter setting can weaken the influence to improve measurement accuracy. This paper presents a simulation method for evaluating CT scanning parameters for dimensional metrology. The method can aid CT metrology to achieve high measurement accuracy. In the method, image entropy is used as a criterion to evaluate the quality of CT volume data. For entropy calculation of CT volume data, a detailed description about bin width and entropy zone is given. The relationship between entropy values of CT volume data and error parameters of CT metrology is shown and discussed. By use of this method, mainly we focus on specimen orientation evaluation, and some other typical scanning parameters are used to evaluate the proposed method. Two typical specimens are used to evaluate the performance of the proposed method.
    • Download: (8.518Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Evaluation of Scanning Parameters Based on Image Entropy for Dimensional Computed Tomography Metrology

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4234777
    Collections
    • Journal of Manufacturing Science and Engineering

    Show full item record

    contributor authorXue, Lin
    contributor authorSuzuki, Hiromasa
    date accessioned2017-11-25T07:17:46Z
    date available2017-11-25T07:17:46Z
    date copyright2017/6/3
    date issued2017
    identifier issn1087-1357
    identifier othermanu_139_07_071001.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4234777
    description abstractMany types of artifacts appear in X-ray computed tomography (CT) volume data, which influence measurement quality of industrial cone beam X-ray CT. Most of those artifacts are associated to CT scanning parameters; therefore, a good scanning parameter setting can weaken the influence to improve measurement accuracy. This paper presents a simulation method for evaluating CT scanning parameters for dimensional metrology. The method can aid CT metrology to achieve high measurement accuracy. In the method, image entropy is used as a criterion to evaluate the quality of CT volume data. For entropy calculation of CT volume data, a detailed description about bin width and entropy zone is given. The relationship between entropy values of CT volume data and error parameters of CT metrology is shown and discussed. By use of this method, mainly we focus on specimen orientation evaluation, and some other typical scanning parameters are used to evaluate the proposed method. Two typical specimens are used to evaluate the performance of the proposed method.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEvaluation of Scanning Parameters Based on Image Entropy for Dimensional Computed Tomography Metrology
    typeJournal Paper
    journal volume139
    journal issue7
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4035676
    journal fristpage71001
    journal lastpage071001-24
    treeJournal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 007
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian