Agricultural products recognition system using taxonomists 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 B.V.
2016
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| Online Access: | http://eprints.utm.my/id/eprint/72367/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955584209&doi=10.1016%2fj.eaef.2016.01.004&partnerID=40&md5=5565f2c6ae0d7f24bc369ed26bfcafa1 |
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