IDEAS home Printed from https://ideas.repec.org/a/ids/ijmtma/v40y2026i1-2p1-14.html

Product design sketch defect detection method based on feature extraction

Author

Listed:
  • Liwei Sun

Abstract

There are problems with high false alarm rates and low registration of defect features in product design sketch defect detection. To this end, a defect detection method for product design sketches based on feature extraction is designed. First, the Gaussian filter method is introduced to remove the noise in the product design sketch, and greyscale processing is carried out. Secondly, linear transformation of product design sketches expands the greyscale range of sketch defects and changes the local enhancement effect. Finally, through the PCA algorithm in the feature extraction algorithm, the defect features of the product design sketch are extracted, and the product design sketch with this feature is regarded as an image with defects. The results show that the proposed method can effectively reduce the false alarm rate in detection and improve the registration degree of defect features, with a maximum registration degree of about 99%.

Suggested Citation

  • Liwei Sun, 2026. "Product design sketch defect detection method based on feature extraction," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 40(1/2), pages 1-14.
    • Handle: RePEc:ids:ijmtma:v:40:y:2026:i:1/2:p:1-14
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=151522
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:ids:ijmtma:v:40:y:2026:i:1/2:p:1-14. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=21 .

    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.