A Parallel Convolution and Decision Fusion-Based Flower Classification Method

A Parallel Convolution and Decision Fusion-Based Flower Classification Method

Flower classification is of great significance to the fields of plants, food, and medicine. However, due to the inherent inter-class similarity and intra-class differences of flowers, it is a difficult task to accurately classify them. To this end, this paper proposes a novel flower classification m...

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Bibliographic Details
Main Authors: Lianyin Jia, Hongsong Zhai, Xiaohui Yuan, Ying Jiang, Jiaman Ding
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Mathematics
Subjects:
image classification
decision fusion
information entropy
parallel convolutions
convolutional neural network
Online Access:https://www.mdpi.com/2227-7390/10/15/2767

Internet

https://www.mdpi.com/2227-7390/10/15/2767

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