• DocumentCode
    2212101
  • Title

    Color approach of melanoma lesion segmentation

  • Author

    Beuren, Arlete T. ; Pinheiro, Rodrigo J G ; Facon, Jacques

  • Author_Institution
    Fac. de Ensino Super. de Sao Miguel do Iguacu, Sao Miguel, Brazil
  • fYear
    2012
  • fDate
    11-13 April 2012
  • Firstpage
    284
  • Lastpage
    287
  • Abstract
    This paper presents a segmentation approach of melanoma by color morphology. The images of melanoma are filtered by morphological tools using a lexicographic order onto HSI color space. A thresholding technique is applied to segment the melanoma Region of Interest (ROI). Binary morphological techniques are used to filter the ROI. The approach was tested on two benign and malignant image databases, both containing 100 images, and the results were compared to ground-truth segmentation and Fuzzy CMeans one. By performing twelve metrics, the results have shown the promising aspects of this approach to segment benign and malignant lesions.
  • Keywords
    cancer; filtering theory; image colour analysis; image segmentation; medical image processing; visual databases; HSI color space; benign image database; binary morphological technique; color morphology; image filtering; lexicographic order; malignant image database; melanoma ROI; melanoma lesion segmentation; melanoma region of interest; morphological tools; thresholding technique; Cancer; Frequency modulation; Image color analysis; Image segmentation; Lesions; Malignant tumors; Measurement; Ground-truth; Mathematical Morphology; Melanoma; Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    2157-8672
  • Print_ISBN
    978-1-4577-2191-5
  • Type

    conf

  • Filename
    6208129