An Image-based Automatic Recognition Method for the Flowering Stage of Maize

机译：基于图像的玉米开花期自动识别方法

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

In this paper, we proposed an image-based approach for automatic recognizing the flowering stage of maize. A modified HOG/SVM detection framework is first adopted to detect the ears of maize. Then, we use low-rank matrix recovery technology to precisely extract the ears at pixel level. At last, a new feature called color gradient histogram, as an indicator, is proposed to determine the flowering stage. Comparing experiment has been carried out to testify the validity of our method and the results indicate that our method can meet the demand for practical observation.

机译：在本文中，我们提出了一种基于图像的方法来自动识别玉米的开花期。首先采用改进的HOG / SVM检测框架来检测玉米穗。然后，我们使用低秩矩阵恢复技术在像素级别精确提取耳朵。最后，提出了一种新的特征，称为颜色梯度直方图，作为指标来确定开花期。进行了对比实验，验证了该方法的有效性，结果表明该方法可以满足实际观察的需求。

著录项

来源
《International symposium on multispectral image processing and pattern recognition》|2017年|106111O.1-106111O.8|共8页
会议地点
作者
Zhenghong Yu; Huabing Zhou; Cuina Li;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类
关键词
Automatic Recognition; Maize; Flowering Stage; Low-rank Recovery; Color Gradient Histogram;

机译：自动识别;玉米;开花期;低等级恢复;颜色渐变直方图;

相似文献

外文文献
中文文献
专利

1. Automatic image-based detection technology for two critical growth stages of maize: Emergence and three-leaf stage [J] . Yu Zhenghong, Cao Zhiguo, Wu Xi, Agricultural and Forest Meteorology . 2013,第Null期

机译：玉米两个关键生长阶段的基于图像的自动检测技术：萌芽期和三叶期
2. Investigation of a novel automatic micro image-based method for the recognition of animal fibers based on Wavelet and Markov Random Field [J] . Xing Wenyu, Deng Na, Xin Binjie, Micron: The international research and review journal for microscopy . 2019,第期

机译：基于小波和马尔可夫随机场识别动物纤维的新型自动微观图像基础方法的研究
3. An image-based method for the automatic recognition of cashmere and wool fibers [J] . Xing Wenyu, Deng Na, Xin Binjie, Measurement . 2019,第期

机译：一种基于图像的自动识别羊绒和羊毛纤维的方法
4. An Image-based Automatic Recognition Method for the Flowering Stage of Maize [C] . Zhenghong Yu, Huabing Zhou, Cuina Li SPIE Conference on Multispectral Image Processing and Pattern Recognition . 2017

机译：一种基于图像的自动识别方法，用于玉米开花阶段
5. Drought tolerance at seedling and flowering growth stages in maize: Abscisic acid and other traits as selection tools. [D] . Mugo, Stephen Ngure. 1999

机译：玉米幼苗开花期的耐旱性：脱落酸和其他性状作为选择工具。
6. An End-to-End Image-Based Automatic Food Energy Estimation Technique Based on Learned Energy Distribution Images: Protocol and Methodology [O] . Shaobo Fang, Zeman Shao, Deborah A. Kerr, 2019

机译：基于学习的能量分布图像的基于端到端图像的食物能量自动估算技术：协议和方法
7. Table 3: ANOVA results for effects of years (Y), leaf excising treatments (T) and their interactions (Y × T) on red to far red ratio, stem breaking strength (N), stem diameter (mm) and leaf area index at second-trifoliate stage (V2), fifth-trifoliate stage (V5), and flowering-stage (R1), and seed yield (kg ha−1) of maize and soybean under sole cropping and relay intercropping system from 2017 to 2018. [O] . -1

机译：表3：ANOVA对多年（Y），叶片切除治疗（T）及其相互作用（Y×T）的效果的ANOVA结果在红色到远的红色比，茎断裂强度（n），茎直径（mm）和叶面积指数在2017年至2018年的唯一作品和继电器间作系统下，在二十三级阶段（V2），第五型阶段（V5），和开花阶段（R1）和种子产量（KG HA-1），以及大豆在2017年至2018年。
8. Image-Based Automatic Target Recognition [R] . Singh, R. P. , Abdallah, M. A. 2000

机译：基于图像的自动目标识别

An Image-based Automatic Recognition Method for the Flowering Stage of Maize

摘要

著录项

相似文献

相关主题

期刊订阅