Agricultural products 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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Bibliographic Details
Main Authors: Chaw, J. K., Mokji, M.
Format: Article
Published: 2016
Subjects:
Online Access:http://eprints.utm.my/id/eprint/68759/
https://doi.org/10.1016/j.eaef.2016.01.004
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