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论文:2018,Vol:36,Issue(2):332-338 |
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引用本文： |
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康智强, 袁朝辉, 程瑞锋. 基于改进的Fisher准则玉米种子果穗检测方法[J]. 西北工业大学学报 |
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Kang Zhiqiang, Yuan Chaohui, Cheng Ruifeng. Method of Ear Detection for Maize Seed Based on Fisher Criterion[J]. Northwestern polytechnical university |
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| 基于改进的Fisher准则玉米种子果穗检测方法 |
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| 康智强1,2, 袁朝辉1, 程瑞锋3 |
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1. 西北工业大学 自动化学院, 陕西 西安 710072;
2. 西安建筑科技大学 机电工程学院, 陕西 西安 710055;
3. 西北工业大学 航海学院, 陕西 西安 710072 |
| 摘要: |
| 采用机器视觉检测玉米种子果穗的大小、形状、纹理和颜色等特征，传统方法检测非常有限而且不能满足检测效率。采用了logistic回归线性判别分析方法、感知机准则、最小二乘法和Fisher方法对比，利用变化的Fisher准则根据类间离散度误差矩阵与类内离散度重建误差矩阵之比的最大值确定投影方向，对果穗进行分类。通过融合Fisher判别分析方法进行检测中进行检测，通过大量实验和其他方法对比，实验证明Fisher能够高效率高精度的对玉米种子果穗进行分类检测。 |
| 关键词:
机器视觉
检测效率
判别分析法
投影方向
Fisher判别
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| Method of Ear Detection for Maize Seed Based on Fisher Criterion |
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| Kang Zhiqiang1,2, Yuan Chaohui1, Cheng Ruifeng3 |
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1. School of Automation, Northwestern Polytechnical University, Xi'an 710072, China;
2. School of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China;
3. School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China |
| Abstract: |
| The purpose of this paper is to use machine vision to detect the size, shape, texture and color of maize seed ear. The traditional method is very limited and cannot meet the detection efficiency. This paper used logistic regression linear discriminant analysis method, the rule of perceptron, Fisher method and the least-square method, this paper use change between the Fisher criterion according to the the class of discrete degree error matrix and matrix of the discrete degree of reconstruction error in class than the maximum projection direction, classifying clusters. By fusion Fisher discriminant analysis method for testing in the test, through a large number of experiments and comparison method, the experiment proved that Fisher can high efficiency and high precision of classifying seed corn ear detection. |
| Key words:
machine vision
detection efficiency
discriminant analysis method
projection direction
Fisher discriminant
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| 收稿日期: 2017-04-01
修回日期:
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| DOI: |
| 基金项目: 陕西省教育厅自然科学资助项目（17JK0445）、广东省引进创新创业团队专项（2014ZT05G132）、深圳市海外高层次人才资金（KQTD2015033117354154）及长安大学道路施工技术与装备教育部重点实验室开放基金（310825161107）资助 |
| 通讯作者:
Email： |
| 作者简介: 康智强(1977-),西北工业大学博士后,主要从事数字图形处理、模式识别和人工智能及自动控制技术研究。
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