• DocumentCode
    173387
  • Title

    Skin lens: Skin assessment video filters

  • Author

    Alaei Novin, Inaz ; Aarabi, P.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2014
  • fDate
    5-8 Oct. 2014
  • Firstpage
    1033
  • Lastpage
    1038
  • Abstract
    This paper presents a framework for real-time skin analysis. Our system consists of two filters for skin redness analysis and pigmented skin lesions analysis. In skin redness analysis, we search for skin regions in video frames and assess size and degree of redness in skin regions. In order to analyze pigmented skin lesions we localize potential moles of different sizes utilizing multiple difference of Gaussian filters and apply trained Support Vector Machine and K-Nearest Neighbors to eliminate non-mole candidates from the previous stage. After finding mole candidates we present information about the symmetry and border irregularity of candidate moles. To test real-time performance of our system a prototype application on iPhone 4S and iPhone 5S was implemented.
  • Keywords
    Gaussian processes; lenses; medical image processing; skin; Gaussian filters; k-nearest neighbors; nonmole candidates; pigmented skin lesions analysis; skin assessment video filters; skin lens; skin redness analysis; support vector machine; video frames; Image color analysis; Image segmentation; Lesions; Real-time systems; Skin; Streaming media; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/SMC.2014.6974049
  • Filename
    6974049