IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v22y2020i7d10.1007_s10668-019-00528-9.html
   My bibliography  Save this article

Effect of shadow removal by gamma correction in SMQT algorithm in environmental application

Author

Listed:
  • Seyed Mehdi Yavari

    (Islamic Azad University, Science and Research Branch)

  • Hamid Amiri

    (Shiraz University)

Abstract

Environmental data can be achieved from remote sensing. Shadows are main problems in achieving environmental data by remote sensing. In this research, an algorithm is proposed for preparing environmental data from shadow-covered objects. The proposed algorithm provides some information about digital number (DN) of shadow-covered objects by reducing the shadow effect. The successive mean quantization transform (SMQT) algorithm, gamma correction and combination of images form the basis of the proposed algorithm. SMQT algorithm eliminates gain and bias features by indicating the data structure. The data structure remains unchanged, and the differences between terrains are highlighted by compressing the dynamic range and stretching the histogram of the image in parts with different terrains of same DN. The output of the SMQT algorithm is a gray image. A new image is obtained by combining this image with the original image through HSV color space. In the second step, gamma correction is applied to the entire image according to brightness and contrast. But the gamma correction rate is not the same in all parts of an image. As a result, gamma correction should be done locally. However, local gamma correction and the use of a kernel of a specific dimension increase computation time. In addition, if there is a noise in the image, it will cause a significant deviation in the correction. To solve this problem, the output of SMQT algorithm is combined with the image obtained from gamma correction. Shadows in the input image cause the image histogram to be compressed in areas near zero. After performing the process in the study, the histogram was stretched and the maximum histogram reached from 190 to 250.

Suggested Citation

  • Seyed Mehdi Yavari & Hamid Amiri, 2020. "Effect of shadow removal by gamma correction in SMQT algorithm in environmental application," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(7), pages 7057-7074, October.
    • Handle: RePEc:spr:endesu:v:22:y:2020:i:7:d:10.1007_s10668-019-00528-9
    DOI: 10.1007/s10668-019-00528-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-019-00528-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-019-00528-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:spr:endesu:v:22:y:2020:i:7:d:10.1007_s10668-019-00528-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.