Combined nearest mean classifiers for multiple feature classification
Pattern classification is an important stage in many image processing applications. This paper proposes a technique that is based on nearest mean classifier for classification.The proposed technique integrates three classifiers and uses colour and shape features. Experiment on small training samples...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/3999/1/Ab.pdf http://repo.uum.edu.my/3999/ http://www.icoci.cms.net.my |
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| Summary: | Pattern classification is an important stage in many image processing applications. This paper proposes a technique that is based on nearest mean classifier for classification.The proposed technique integrates three classifiers and uses colour and shape features. Experiment on small training samples has been conducted to evaluate the performance of the proposed combined nearest mean classiffiers and results obtained showed that the technique was able to provide good accuracy |
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