Flower classification using deep convolutional neural networks

Flower classification using deep convolutional neural networks

Flower classification is a challenging task due to the wide range of flower species, which have a similar shape, appearance or surrounding objects such as leaves and grass. In this study, the authors propose a novel two‐step deep learning classifier to distinguish flowers of a wide range of species....

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Bibliographic Details
Main Authors:	Hazem Hiary, Heba Saadeh, Maha Saadeh, Mohammad Yaqub
Format:	Article
Language:	English
Published:	Wiley 2018-09-01
Series:	IET Computer Vision
Subjects:	flower classification deep convolutional neural networks flower species two-step deep learning classifier robust convolutional neural network classifier training stage
Online Access:	https://doi.org/10.1049/iet-cvi.2017.0155

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