IDEAS home Printed from https://ideas.repec.org/a/bjc/journl/v11y2024i4p137-142.html
   My bibliography  Save this article

Object Defect Detection Using Histogram Analysis and Spearman’s Correlation Coefficient

Author

Listed:
  • Md. Mojahidul Islam

    (Dept. of Computer Science & Engineering, Islamic University, Kushtia, Bangladesh)

  • Ahsan-Ul-Ambia

    (Dept. of Computer Science & Engineering, Islamic University, Kushtia, Bangladesh)

  • A.O.M Asaduzzaman

    (Dept. of Computer Science & Engineering, Islamic University, Kushtia, Bangladesh)

  • Md. Shohidul Islam

    (Dept. of Computer Science & Engineering, Islamic University, Kushtia, Bangladesh)

  • Md. Atiqur Rahman

    (Dept. of Computer Science & Engineering, Islamic University, Kushtia, Bangladesh)

Abstract

In modern manufacturing industry, Automatic defect detection is becoming an attractive alternative to Human Inspection. Automatic defect detection on object surfaces is a compelling process. For accurate automated inspection and classification, computer vision image processing system has been widely used in manufacturing industries. In this article, we proposed histogram based automatic defect detection that process three objects at a time. In the first step we collect image from the camera, perform preprocessing, segmentation then we used histogram and Spearman’s correlation coefficient to find the defect or non-defect objects. The experimental analysis was evaluated on 300 images including defective and non-defective objects.

Suggested Citation

  • Md. Mojahidul Islam & Ahsan-Ul-Ambia & A.O.M Asaduzzaman & Md. Shohidul Islam & Md. Atiqur Rahman, 2024. "Object Defect Detection Using Histogram Analysis and Spearman’s Correlation Coefficient," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(4), pages 137-142, April.
    • Handle: RePEc:bjc:journl:v:11:y:2024:i:4:p:137-142
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-11-issue-4/137-142.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijrsi/articles/object-defect-detection-using-histogram-analysis-and-spearmans-correlation-coefficient/
    Download Restriction: no
    ---><---

    More about this item

    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:bjc:journl:v:11:y:2024:i:4:p:137-142. 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: Dr. Renu Malsaria (email available below). General contact details of provider: https://www.rsisinternational.org/journals/ijrsi/ .

    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.