IDEAS home Printed from https://ideas.repec.org/a/ibn/jasjnl/v4y2012i10p169.html
   My bibliography  Save this article

The Effect of Camera and Light Source Characteristics on Image Quality in Machine Vision Application in Food Industry

Author

Listed:
  • Razieh Pourdarbani
  • Hamid Reza Ghassemzadeh
  • Hadi Seyedarabi
  • Fariborz Zaare Nahandi
  • Mohammad Moghaddam Vahed

Abstract

Machine vision technology has been used in a variety of agricultural and food industries applications ranging from planting and postharvest operations to food processing and inspection. High quality image has an essential role in successful application of machine vision technology. To acquire the best image for a specific application, an appropriate camera along with correct light source must be chosen. In the present work, two different types of light sources, namely LEDs and Fluorescent along with two models of camera namely, Proline and Telecam were used. The completely randomized experiment was carried out and 10 standard RAL white card images were captured during each treatment. The RGB values of images were extracted by Image processing toolbox of Matlab software. Comparisons were made between these values and those of standard card values i.e. 255 using SPSS software. LEDs along with camera Telecam proved to be an appropriate combination if high quality images are desired.

Suggested Citation

  • Razieh Pourdarbani & Hamid Reza Ghassemzadeh & Hadi Seyedarabi & Fariborz Zaare Nahandi & Mohammad Moghaddam Vahed, 2012. "The Effect of Camera and Light Source Characteristics on Image Quality in Machine Vision Application in Food Industry," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 4(10), pages 169-169, August.
  • Handle: RePEc:ibn:jasjnl:v:4:y:2012:i:10:p:169
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/jas/article/download/18218/13335
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/jas/article/view/18218
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:jasjnl:v:4:y:2012:i:10:p:169. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.