Vegetation segmentation in cornfield images using bag of words

Yerania Campos, Erik Rodner, Joachim Denzler, Humberto Sossa, Gonzalo Pajares

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

5 Citas (Scopus)

Resumen

We provide an alternative methodology for vegetation segmentation in cornfield images. The process includes two main steps, which makes the main contribution of this approach: (a) a low-level segmentation and (b) a class label assignment using Bag of Words (BoW) representation in conjunction with a supervised learning framework. The experimental results show our proposal is adequate to extract green plants in images of maize fields. The accuracy for classification is 95.3% which is comparable to values in current literature.

Idioma originalInglés
Título de la publicación alojadaAdvanced Concepts for Intelligent Vision Systems - 17th International Conference, ACIVS 2016, Proceedings
EditoresCosimo Distante, Dan Popescu, Paul Scheunders, Wilfried Philips, Jacques Blanc-Talon
EditorialSpringer Verlag
Páginas193-204
Número de páginas12
ISBN (versión impresa)9783319486796
DOI
EstadoPublicada - 2016
Evento17th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2016 - Lecce, Italia
Duración: 24 oct. 201627 oct. 2016

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen10016 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia17th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2016
País/TerritorioItalia
CiudadLecce
Período24/10/1627/10/16

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