Agricultural product recognition system using taxonomist's knowledge as semantic attributes
Support Vector Machine (SVM) was used to classify type of produce commonly sold in supermarkets. We applied a sequence of image processing algorithms such as conversion of color space, thresholding and morphological operation to obtain the region of interest from the images. Global and local feature...
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| Main Authors: | , |
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| Format: | Article |
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Elsevier
2016
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/68547/ http://www.sciencedirect.com/science/article/pii/S1881836616300040 |
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