• DocumentCode
    2642707
  • Title

    Removal of object’s shadow algorithm

  • Author

    Ibrahim, Masrullizam Mat ; Rahman, S.A.-A.A. ; Harun, Nor Zaidi

  • Author_Institution
    Univ. Teknikal Malaysia Melaka, Ayer Keroh
  • fYear
    2007
  • fDate
    4-6 Dec. 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    During bright day light or under strong lighting condition, shadows will appear and be part of an object in image. Objectpsila shadow in images may cause problem to several important algorithm in the fields of image processing such as object recognition, segmentation and object tracking. Removing the shadows can greatly improve the result of the image processing. To tackle this problem then, this algorithm is divided into three parts; eliminating the surrounding objects of object focused, detecting shadows region and removing the objectpsilas shadow. This algorithm used moving object images to distinguish between object focusing and objects will be eliminated in an image. Support vector machine (SVM) was used to detect the shadow region which classify the image into shadow and non-shadow region. Matlab and Image Processing Toolbox were utilized and OSU-SVM was used as interface SVM to the Matlab environment.
  • Keywords
    image segmentation; object recognition; support vector machines; Matlab environment; image processing; object recognition; object segmentation; object tracking; objects shadow removal algorithm; support vector machine; Blood vessels; Focusing; Image processing; Layout; Lighting; Object recognition; Pixel; Support vector machine classification; Support vector machines; Testing; Support Vector Machine (SVM) shadow region; algorithm; non-shadow region; object’s shadow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Electromagnetics, 2007. APACE 2007. Asia-Pacific Conference on
  • Conference_Location
    Melaka
  • Print_ISBN
    978-1-4244-1434-5
  • Electronic_ISBN
    978-1-4244-1435-2
  • Type

    conf

  • DOI
    10.1109/APACE.2007.4603888
  • Filename
    4603888