The development of on-line surface defect detection system for jujubes based on hyperspectral images

高光谱成像 主成分分析 人工智能 支持向量机 模式识别(心理学) 人工神经网络 计算机科学 遥感 地质学
作者
Quoc Thien Pham,Nai-Shang Liou
出处
期刊:Computers and Electronics in Agriculture [Elsevier BV]
卷期号:194: 106743-106743 被引量:51
标识
DOI:10.1016/j.compag.2022.106743
摘要

This paper presents the development of an on-line surface defect system using hyperspectral images for jujubes. A push-broom hyperspectral system was built for collecting hyperspectral image data and detecting skin defects of jujube online. Hyperspectral images with an effective wavelength range of 468–950 nm were obtained for jujubes with normal surface or common skin defect types (i.e., russeting, decay, white fungus, black fungus and crack). Support vector machine (SVM) and artificial neural networks (ANN) models were used to classify surface defects of jujubes. The classification accuracies, with the use of full wavelength range, of ANN and SVM models for jujube skin defects are 96.5% and 96.3% respectively. The times required for processing one jujube face are about 25 and 320 s for ANN and SVM models respectively. To reduce the computation time of online classification tasks, spectral bands were selected from a wavelength range of 468–760 nm with equal band intervals or by the principal component analysis (PCA) method. Experimental results showed that the accuracy of SVM and ANN models using 14 bands (469, 491, 513, 535, 558, 580, 602, 624, 646, 668, 691, 713, 735 and 757 nm), selected by equal wavelength intervals, were 94.4% and 95% respectively. And the accuracies of ANN and SVM models with 14 bands (470, 493, 534, 555, 590, 623, 632, 654, 672, 674, 683, 696, 707 and 747) selected by PCA are 95% and 94.6% respectively. The classification time, with the use of 14 bands, of ANN and SVM models for jujube skin defects reduced to 16.6 and 30 s respectively. The online line scanning and classification hyperspectral imaging system can be used for surface defect detection of other fruits.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
慕青应助小米采纳,获得10
1秒前
six完成签到,获得积分10
2秒前
Rylee完成签到,获得积分10
2秒前
2秒前
可爱的函函应助啦啦啦采纳,获得10
2秒前
2秒前
hmbb发布了新的文献求助10
2秒前
kiki完成签到,获得积分10
3秒前
3秒前
爱学习的小迟完成签到,获得积分10
3秒前
彭于彦祖应助yxy采纳,获得30
3秒前
DAXX完成签到,获得积分10
4秒前
4秒前
5秒前
lalala完成签到,获得积分10
5秒前
眼睛大雨筠应助快乐小韩采纳,获得30
5秒前
6秒前
6秒前
6秒前
6秒前
shilong.yang完成签到,获得积分10
7秒前
7秒前
niu发布了新的文献求助10
8秒前
sdl发布了新的文献求助10
8秒前
飞云发布了新的文献求助10
8秒前
yyyq0721完成签到,获得积分10
9秒前
KBYer发布了新的文献求助20
9秒前
9秒前
9秒前
zy发布了新的文献求助10
10秒前
10秒前
CodeCraft应助孤独的珩采纳,获得10
10秒前
阿黎发布了新的文献求助10
11秒前
ZH发布了新的文献求助10
11秒前
dd完成签到,获得积分10
11秒前
cdercder完成签到,获得积分0
11秒前
11秒前
润物无声完成签到,获得积分10
11秒前
文静静静发布了新的文献求助10
11秒前
jiejie完成签到,获得积分10
12秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3969335
求助须知:如何正确求助?哪些是违规求助? 3514162
关于积分的说明 11172430
捐赠科研通 3249456
什么是DOI,文献DOI怎么找? 1794853
邀请新用户注册赠送积分活动 875437
科研通“疑难数据库(出版商)”最低求助积分说明 804809