Paddy variety identification using hyperspectral imagery under non-ideal illumination conditions

DOI10.1142/S0219691320500368zbMath1457.68296OpenAlexW3033456466MaRDI QIDQ5137928

Zuyin Xiao, Shan Zeng, Xin Huang, Hao Li, Weihua Liu, Haohui Jiang

Publication date: 3 December 2020

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691320500368

zbMATH Keywords

Gabor filterssupport vector machinehyperspectral imagingautomatic food testingpaddy variety identificationsynthetic reflectance slope imageweighted spatial filtering

Mathematics Subject Classification ID

Image analysis in multivariate analysis (62H35) Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression
• Hyperspectral imaging technique based on Geodesic K-medoids clustering and Gabor wavelets for pork quality evaluation

This page was built for publication: Paddy variety identification using hyperspectral imagery under non-ideal illumination conditions