IDEAS home Printed from https://ideas.repec.org/a/igg/jsda00/v4y2015i2p21-41.html
   My bibliography  Save this article

Localized Radon Polar Harmonic Transform (LRPHT) Based Rotation Invariant Analysis of Textured Images

Author

Listed:
  • Satya P. Singh

    (Electronics Engineering Department, Galgotias College of Engineering and Technology, Greater Noida, India)

  • Shabana Urooj

    (School of Engineering, Gautam Buddha University, Greater Noida, India)

Abstract

In this paper, the authors propose a method to analyze and capture the information from texture regardless their geometric deformation. Input image is transformed to radon space and multiresolution is achieved within the radon space using Gaussian derivative wavelet. The transformed image is applied to the polar harmonic transform (PHT). The proposed method is tested against additive Gaussian noise and impulse noise with different rotations. A k- nearest neighbor classifier is employed to classify the texture. To test and evaluate correct classification percentage of the method, several sets of texture are evaluated with different rotation angle under different noisy condition. Experimental results show superiority of method in comparison to recent invariant texture analysis method.

Suggested Citation

  • Satya P. Singh & Shabana Urooj, 2015. "Localized Radon Polar Harmonic Transform (LRPHT) Based Rotation Invariant Analysis of Textured Images," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 4(2), pages 21-41, April.
    • Handle: RePEc:igg:jsda00:v:4:y:2015:i:2:p:21-41
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsda.2015040102
    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:igg:jsda00:v:4:y:2015:i:2:p:21-41. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.