Plant Leaf Recognition using Neural Networks (LeafRApp)

dc.contributor.advisor	Solano, Geoffrey A.
dc.contributor.author	Sosa, Jeselle Petrize M.
dc.date.accessioned	2015-07-27T06:32:35Z
dc.date.available	2015-07-27T06:32:35Z
dc.date.issued	2013-04
dc.identifier.uri	http://cas.upm.edu.ph:8080/xmlui/handle/123456789/74
dc.description.abstract	Plant Leaf Recognition using Neural Networks (LeafRApp) is a desktop application which recognizes a plant from an input image file using the plant leaf’s shape. A hybrid of two modelling techniques is used to extract features from the leaf. The Moment-Invariant method is used to extract the first four moments of the image while Centroid-Radii method is used to extract 36 radii with respect to the image’s centroid. An optional reduction feature is then used to reduce the list of matches of the unidentified plant species inputted by the user.	en_US
dc.language.iso	en	en_US
dc.subject	plant leaf recognition	en_US
dc.subject	Moment-invariant	en_US
dc.subject	Centroid-radii	en_US
dc.subject	Neural network	en_US
dc.title	Plant Leaf Recognition using Neural Networks (LeafRApp)	en_US
dc.type	Thesis	en_US