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Classification Prediction Model Based on BP Neural Network

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成果类型:
期刊论文
作者:
Da Jiang;Changhua Liu;Zuhao Ou
通讯作者:
Liu, Changhua(liuch@whpu.edu.cn)
作者机构:
[Da Jiang; Changhua Liu; Zuhao Ou] School of Mathematics and Computer Science, Wuhan Polytechnic University, China
通讯机构:
School of Mathematics and Computer Science, Wuhan Polytechnic University, China
语种:
英文
关键词:
BP neural network;Brassica napus root;Image processing;MATLAB
期刊:
Journal of Physics: Conference Series
ISSN:
1742-6588
年:
2022
卷:
2218
期:
1
页码:
012040
机构署名:
本校为第一且通讯机构
院系归属:
数学与计算机学院
摘要:
In this paper, a method of plant image processing combined with BP neural network was proposed to predict the disease degree of brassica napus. First, the initial image preprocessing, the roots of brassica napus. were used by Otsu threshold segmentation algorithm is combined with morphological open operation, segment the rape root image with better effect, in order to reduce image size inconsistent on the effects of extracting feature parameters, can be reconstructed images after segmentation, and then obtain the root image multiple characteris...

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