Plant Image Recognition with Complex Background Based on Effective Region Screening

doi:10.3788/LOP57.041016

LZUFE-KMS

	Plant Image Recognition with Complex Background Based on Effective Region Screening
	Song Xiaoyu 1; Jin Liting 1; Zhao Yang 2; Sun Yue 1; Liu Tong 1
	2020-02
发表期刊	LASER & OPTOELECTRONICS PROGRESS
卷号	57 期号:4
摘要	A plant image recognition method, which is based on effective region screening through a convolutional neural network (CNN), is proposed with an aim to improve the accuracy of plant image recognition in complex backgrounds. First, image (flower, leaf) datascts arc used to train an effective region-screening model through a CNN, which is designed to allow the datascts to retain effective areas such as flowers and leaves after screening through the model. Subsequently, the effective areas arc extracted from the plant image data sets by Mask R-CNN. Then the effective area screening model is used to screen the effective areas that can represent the plant image categories. The effective areas arc divided into training sets and test sets in a ratio of 4:1. The CNN plant image recognition model based on effective region selection (MRC-GoogleNet) is obtained after training in GoogleNet. Finally, the recognition accuracy is obtained through the model. The experimental results and data reveal that the recognition model, which is based on effective region selection, can more effectively extract image features and improve the recognition accuracy compared with the classical CNN plant image recognition model.
关键词	image processing plant image recognition complex background convolutional neural network effective region screening mask R-CNN
DOI	10.3788/LOP57.041016
收录类别	ESCI ; SCOPUS ; 北大核心 ; CSCD
ISSN	1006-4125
语种	中文
WOS研究方向	Engineering ; Optics
WOS类目	Engineering, Electrical & Electronic ; Optics
WOS记录号	WOS:000549440200019
出版者	SHANGHAI INST OPTICS & FINE MECHANICS, CHINESE ACAD SCIENCE
原始文献类型	Article
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/30193
专题	兰州财经大学
作者单位	1.Lanzhou Jiaotong Univ, Sch Elect & Informat Engn, Lanzhou 730070, Gansu, Peoples R China; 2.Lanzhou Univ Finance & Econ, Longqiao Coll, Dept Informat Engn, Lanzhou 730101, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Song Xiaoyu,Jin Liting,Zhao Yang,et al. Plant Image Recognition with Complex Background Based on Effective Region Screening[J]. LASER & OPTOELECTRONICS PROGRESS,2020,57(4).
APA	Song Xiaoyu,Jin Liting,Zhao Yang,Sun Yue,&Liu Tong.(2020).Plant Image Recognition with Complex Background Based on Effective Region Screening.LASER & OPTOELECTRONICS PROGRESS,57(4).
MLA	Song Xiaoyu,et al."Plant Image Recognition with Complex Background Based on Effective Region Screening".LASER & OPTOELECTRONICS PROGRESS 57.4(2020).