Biometrics and Bioinformatics

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Diagnosing Psoriasis Using GLCM and ANFIS


Affiliations
1 Dept. of Computer Science, Vel’s University, Pallavaram, Chennai, India
2 Dept. of BCA & IT, Vel’s University, Pallavaram, Chennai, India
     

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The aim of this research is to develop an intelligent decision supporting system for diagnosing and treatment tracking of chronic immune mediated skin disease Psoriasis. The texture and color feature of skin are extracted using GLCM to increase the accuracy of images. Adaptive Neuro Fuzzy Inference System classifies the data as affected skin type or otherwise. The KNN algorithm clusters the treatment data for further analysis and decision making.


Keywords

ANFIS, GLCM, MATLAB.
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  • Diagnosing Psoriasis Using GLCM and ANFIS

Abstract Views: 193  |  PDF Views: 3

Authors

N. Rubayath Nisha
Dept. of Computer Science, Vel’s University, Pallavaram, Chennai, India
M. Gomathe
Dept. of BCA & IT, Vel’s University, Pallavaram, Chennai, India

Abstract


The aim of this research is to develop an intelligent decision supporting system for diagnosing and treatment tracking of chronic immune mediated skin disease Psoriasis. The texture and color feature of skin are extracted using GLCM to increase the accuracy of images. Adaptive Neuro Fuzzy Inference System classifies the data as affected skin type or otherwise. The KNN algorithm clusters the treatment data for further analysis and decision making.


Keywords


ANFIS, GLCM, MATLAB.