Open Science Research Excellence
@article{(International Science Index):,
  title    = {Fuzzy Based Visual Texture Feature for Psoriasis Image Analysis},
  author    = {G. Murugeswari and  A. Suruliandi},
  country   = {India},
  institution={Manonmaniam Sundaranar University},
  abstract  = {This paper proposes a rotational invariant texture
feature based on the roughness property of the image for psoriasis
image analysis. In this work, we have applied this feature for image
classification and segmentation. The fuzzy concept is employed to
overcome the imprecision of roughness. Since the psoriasis lesion is
modeled by a rough surface, the feature is extended for calculating
the Psoriasis Area Severity Index value. For classification and
segmentation, the Nearest Neighbor algorithm is applied. We have
obtained promising results for identifying affected lesions by using
the roughness index and severity level estimation.
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {8},
  number    = {10},
  year      = {2014},
  pages     = {1931 - 1938},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 94, 2014},