Evaluation of Texture and Shape Features for Classification of Four Paddy Varieties
This research is aimed at evaluating the texture and shape features using the most commonly used neural network architectures for cereal grain classification. An evaluation of the classification accuracy of texture and shape features and neural network was done to classify four Paddy (rice) grains,...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Journal of Engineering |
| Online Access: | http://dx.doi.org/10.1155/2014/617263 |
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