Published February 29, 2020
| Version v1
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GLCM – SVM based Classification of Brain MRI with K-Means Clusters
Creators
- 1. Department of Electrical Engineering, Annamalai University,Chidambaram,TamilNadu, India
Contributors
- 1. Publisher
Description
In this proposed method, MR Brain image segmentation technique based on K-means clustering combined with Discrete Wavelet Transform (DWT) based feature extraction and Gray Level Co-Occurrence Matrix (GLCM) based feature selection approach has been presented. A Perfect Radial Basis Function (RBF) - Support Vector Machine (SVM) Classifier has been selected for this process. The Performance of the classifier was estimated through accuracy based on the fractions selectivity and sensitivity. Accuracy of the proposed classifier was found to be 93%. Moreover, in this proposed method, instead of selecting the cluster centres in a random manner, Histogram technique was used.
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Additional details
Related works
- Is cited by
- Journal article: 2249-8958 (ISSN)
Subjects
- ISSN
- 2249-8958
- Retrieval Number
- B4500129219/2020©BEIESP