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Iterative Fuzzy Clustering Regions of Interest in Skin Lesions. By R. Cucchiara, C. Grana, M. Piccardi Presented by Mohammed Jirari October 23 rd , 2002 Image Processing Lab. Introduction. Definition of Skin Melanoma Systems used for Melanoma diagnosis Recent research.

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iterative fuzzy clustering regions of interest in skin lesions

Iterative Fuzzy Clustering Regions of Interest in Skin Lesions

By R. Cucchiara, C. Grana, M. Piccardi

Presented by Mohammed Jirari

October 23rd, 2002

Image Processing Lab

introduction
Introduction
  • Definition of Skin Melanoma
  • Systems used for Melanoma diagnosis
  • Recent research
method used in paper
Method used in paper
  • Preprocessing
  • Karhunen-Loeve transform
  • Fuzzy c-means clustering
  • Topological tree
preprocessing
Preprocessing
  • Convolve the image with a Gaussian kernel with standard deviation of one pixel.
  • Transform images from original RGB into CIE L*a*b* color coordinates.
karhunen loeve transform
Karhunen-Loeve transform
  • Projection of the vectors to be reduced on the eigenvectors of their covariance matrix using the following:
karhunen loeve transform cont
Karhunen-Loeve transform (cont.)
  • The Karhunen-Loeve transform of vector x is defined by:
fuzzy c means clustering
Fuzzy c-means clustering
  • Use the following 2 recurrent equations:
topological tree
Topological tree
  • Bright clusterHealthy skin

Dark cluster Lesion

topological tree cont
Topological tree (cont.)
  • Def1:Skin region of Interest(Skin ROI)

a set of pixels of the skin image exhibiting 3 properties: uniform color, connected pixels and significant area.

  • Def2:Topological Tree(TT)

a tree whose nodes are skin ROIs and the arcs topological inclusion relationships between skin ROIs

pseudo code of the algorithm
Pseudo-code of the algorithm

AnalyzeRegion (region R, node N)

{if(not StopCondition (R)){

[C1,C2]=FCM(R);

[Cint,Cext]=VerifyInclusion([C1,C2]);

if(exists([Cint,Cext])){

Cres=R-Cint-Cext;

Nnew=AddNodeToTree(Cext,N);

foreach C in ConnectedComponents(Cint)

AnalyzeRegion(C+Cres,Nnew);}

else {

Analyzeregion(R-C1,N);

AnalyzeRegion(R-C2,N);

}}

else AddNodeToTree(R,N);}