Data/hora: 02/06/2024 19:07:45

Provedor de dados: | 111
País: | China
Título: | An edge texture features based methodology for bulk paddy variety recognition
Autores: | Anami, Basavaraj S; Malvade, Naveen Nagendrappa; Hanamaratti, N G.
Data: | 2016-03-22
Ano: | 2016
Palavras-chave: | Paddy; Bulk Grain; Canny Edge; Sobel Edge; Maximum Gradient; Variety recognition paddy  canny  sobel  texture features  feature extraction  ANN  pattern recognition.
Resumo: | The paper presents a method for recognition of paddy varieties from their bulk grain sample edge images based on Haralick texture features extracted from grey level co-occurrence matrices. The edge images were obtained using Canny and maximum gradient edge detection methods. The average paddy variety recognition performances of the two categories of edge images were evaluated and compared. A feature set of thirteen texture features was considered and the feature set was reduced based on contribution of each feature to the paddy variety recognition accuracy. The average paddy variety recognition accuracy of 87.80% was obtained for the reduced eight texture features extracted from maximum gradient edge images. The work is useful in developing a machine vision system for agriculture produce market and developing multimedia applications in agriculture sciences.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.cigrjournal.org/index.php/Ejounral/article/view/3490
Editor: | International Commission of Agricultural and Biosystems Engineering

Relação:

http://www.cigrjournal.org/index.php/Ejounral/article/view/3490/2308

http://www.cigrjournal.org/index.php/Ejounral/article/downloadSuppFile/3490/1267

Formato: | application/pdf

Fonte:

Agricultural Engineering International: CIGR Journal; Vol 18, No 1 (2016): CIGR Journal; 399-410

1682-1130

Fonte: | Copyright (c) 2016 Agricultural Engineering International: CIGR Journal