Edge Geometric Measurement Based Principal Component Analysis in Strawberry Leaf Images

Abstract : Edge geometric measurement analysis is an important method of image understanding and portraying the target feature. In this paper, we compress 17 interrelated shape descriptors which are based on edge geometric measure into 6 independent components, and discuss their meanings by using principal component analysis. The analyses in this article provide guidance for the shape feature optimization and accurate identification for greenhouse strawberry leaves images successfully.
Type de document :
Communication dans un congrès
Daoliang Li; Yingyi Chen. 6th Computer and Computing Technologies in Agriculture (CCTA), Oct 2012, Zhangjiajie, China. Springer, IFIP Advances in Information and Communication Technology, AICT-392 (Part I), pp.58-68, 2013, Computer and Computing Technologies in Agriculture VI. 〈10.1007/978-3-642-36124-1_8〉
Liste complète des métadonnées

Littérature citée [7 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01348081
Contributeur : Hal Ifip <>
Soumis le : vendredi 22 juillet 2016 - 13:54:26
Dernière modification le : vendredi 22 juillet 2016 - 14:11:21
Document(s) archivé(s) le : dimanche 23 octobre 2016 - 12:30:21

Fichier

978-3-642-36124-1_8_Chapter.pd...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Jianlun Wang, Yu Han, Zetian Fu, Daoliang Li, Jianshu Chen, et al.. Edge Geometric Measurement Based Principal Component Analysis in Strawberry Leaf Images. Daoliang Li; Yingyi Chen. 6th Computer and Computing Technologies in Agriculture (CCTA), Oct 2012, Zhangjiajie, China. Springer, IFIP Advances in Information and Communication Technology, AICT-392 (Part I), pp.58-68, 2013, Computer and Computing Technologies in Agriculture VI. 〈10.1007/978-3-642-36124-1_8〉. 〈hal-01348081〉

Partager

Métriques

Consultations de la notice

81

Téléchargements de fichiers

29