Biometrics and Bioinformatics

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

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
     

   Subscribe/Renew Journal


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.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 283

PDF Views: 3




  • Diagnosing Psoriasis Using GLCM and ANFIS

Abstract Views: 283  |  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.