A robust technique of brain MRI classification using color features and k-nearest neighbor algorithm
The analysis of MRI images is a manual process carried by experts which need to be automated to accurately classify the normal and abnormal images. We have proposed a reduced, three stage model having per-processing feature extraction and classification steps. in pre-processing the noise has been r...
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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Science & Engineering Research Support soCiety
2016
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| 主題: | |
| オンライン･アクセス: | http://irep.iium.edu.my/52576/1/Abdul-salam-oct-2016-paper-A-Robust-Technique-of-Brain-MRI-Classification-using-Color-Features-and-K-Nearest-Neighbors-Algorithm.pdf http://irep.iium.edu.my/52576/ http://www.sersc.org/journals/IJSIP/vol9_no10/2.pdf |
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