• DocumentCode
    1766104
  • Title

    Specularity detection method based on MSER

  • Author

    Zhu, Hengliang ; Gao, Cheng ; Guo, Youguang ; Shao, Yu

  • Author_Institution
    Key Lab. of Optoelectron. Technol. & Syst. of the Educ. Minist. of China, Chongqing Univ., Chongqing, China
  • Volume
    49
  • Issue
    18
  • fYear
    2013
  • fDate
    August 29 2013
  • Firstpage
    1138
  • Lastpage
    1140
  • Abstract
    A new algorithm for specularity detection using a single image, which is based on the maximally stable extremal regions (MSER) detector, is presented. This algorithm takes full advantage of the characteristics of specularity and requires no assumptions. For this reason, it separates specularities very well regardless of the illumination condition and the surface material. To illustrate the effectiveness of the prposed algorithm, experiments are performed using the images of both dielectric and metal surfaces. Experimental results show that the presented approach outperforms the traditional methods from the point of view of sensitivity to correctness.
  • Keywords
    image processing; lighting; object detection; MSER-based specularity detection method; dielectric surfaces; illumination condition; maximally stable extremal regions detector; metal surfaces; single image; specularity characteristics; surface material;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2013.2306
  • Filename
    6587643