Automatic Recognition of Leaves by Shape Detection Pre-Processing with Ica

Solé-Casals, Jordi; Travieso, Carlos M.; Ferrer, Miguel A.; Alonso, Jesús B.; Briceno, Juan Carlos

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dc.contributor	Universitat de Vic. Escola Politècnica Superior
dc.contributor	Universitat de Vic. Grup de Recerca en Tecnologies Digitals
dc.contributor	International Conference on Bio-inspired Systems and Signal Proceesing (2a: 2009: Porto)
dc.contributor	BIOSIGNALS 2009
dc.contributor.author	Solé-Casals, Jordi
dc.contributor.author	Travieso, Carlos M.
dc.contributor.author	Ferrer, Miguel A.
dc.contributor.author	Alonso, Jesús B.
dc.contributor.author	Briceno, Juan Carlos
dc.date.accessioned	2013-02-25T12:20:29Z
dc.date.available	2013-02-25T12:20:29Z
dc.date.created	2009
dc.date.issued	2009
dc.identifier.citation	Solé Casals, J., Travieso, C.M., Ferrer, M.A., Alonso, J.B. & Briceno, J.C. 2009, "Automatic Recognition of Leaves by Shape Detection Pre-Processing with Ica", Biosignals 2009: Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing; 2nd International Conference on Bio-Inspired Systems and Signal Processing, eds. P. Encarnacao & A. Veloso, INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION, SETUBAL; AVENIDA D MANUEL L, 27A 2 ESQUERDO, SETUBAL, 2910-595, PORTUGAL, JAN 14-17, 2009, pp. 462.	ca_ES
dc.identifier.isbn	78-989-8111-65-4
dc.identifier.uri	http://hdl.handle.net/10854/2095
dc.description.abstract	In this work we present a simulation of a recognition process with perimeter characterization of a simple plant leaves as a unique discriminating parameter. Data coding allowing for independence of leaves size and orientation may penalize performance recognition for some varieties. Border description sequences are then used to characterize the leaves. Independent Component Analysis (ICA) is then applied in order to study which is the best number of components to be considered for the classification task, implemented by means of an Artificial Neural Network (ANN). Obtained results with ICA as a pre-processing tool are satisfactory, and compared with some references our system improves the recognition success up to 80.8% depending on the number of considered independent components.	ca_ES
dc.format	application/pdf
dc.format.extent	6 p.	ca_ES
dc.language.iso	eng	ca_ES
dc.publisher		ca_ES
dc.publisher	Springer
dc.rights	(c) Springer (The original publication is available at www.springerlink.com)
dc.rights	Tots els drets reservats	ca_ES
dc.subject.other	Percepció de les formes	ca_ES
dc.title	Automatic Recognition of Leaves by Shape Detection Pre-Processing with Ica	ca_ES
dc.type	info:eu-repo/semantics/conferenceObject	ca_ES
dc.rights.accessRights	info:eu-repo/semantics/openAccess	ca_ES