Shape Feature Extraction of Wheat Leaf Disease Based on Invariant Moment Theory

Abstract : Shape feature extraction is a key research direction on wheat leaf disease recognition. In order to resolve the problem of translation, scaling and rotation transformation invariance on shape matching, the invariant moment theory was introduced to shape feature extraction and seven Hu invariant moment parameters were defined as shape features. Meanwhile the present algorithm was used and new parameters were defined for shape feature extraction research on wheat leaf disease image. The shape features suitable for two types of wheat leaf disease recognition were received and applied in wheat disease intelligent recognition system. The results show that the system recognition rate is relatively high, and can meet the practical application requirements.
Type de document :
Communication dans un congrès
Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-369, pp.168-173, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27278-3_18〉
Liste complète des métadonnées

Littérature citée [11 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01360977
Contributeur : Hal Ifip <>
Soumis le : mardi 6 septembre 2016 - 15:07:52
Dernière modification le : mardi 6 septembre 2016 - 16:06:08
Document(s) archivé(s) le : mercredi 7 décembre 2016 - 14:20:47

Fichier

978-3-642-27278-3_18_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Zhihua Diao, Anping Zheng, Yuanyuan Wu. Shape Feature Extraction of Wheat Leaf Disease Based on Invariant Moment Theory. Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-369, pp.168-173, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27278-3_18〉. 〈hal-01360977〉

Partager

Métriques

Consultations de la notice

30

Téléchargements de fichiers

132