  Decomposition of skin pigment plays an important role in medical fields.
Human skin can be decomposed into two primitive components, hemoglobin and
melanin. It is our goal to apply these results for diagnosis of skin cancer. In
this paper, various methods for skin pigment decomposition are reviewed
comparatively and the performance of each method is evaluated both
theoretically and experimentally. In addition, isometric feature mapping
(Isomap) is introduced in order to improve the dimensionality reduction
performance in context of skin pigment decomposition.
