[1]柴玉华,孙玮璘.基于小波矩的大豆外观品质特征提取方法的研究[J].大豆科学,2016,35(04):679-682.[doi:10.11861/j.issn.1000-9841.2016.04.0679]
　CHAI Yu-hua,SUN Wei-lin.Study on the Method of Extracting the Appearance Quality of Soybean Based onWavelet Moment[J].Soybean Science,2016,35(04):679-682.[doi:10.11861/j.issn.1000-9841.2016.04.0679]
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基于小波矩的大豆外观品质特征提取方法的研究

《大豆科学》[ISSN:1000-9841/CN:23-1227/S] 卷: 第35卷 期数: 2016年04期 页码: 679-682 栏目: 出版日期: 2016-07-20
Title:
Study on the Method of Extracting the Appearance Quality of Soybean Based onWavelet Moment
作者:
柴玉华; 孙玮璘
东北农业大学电气与信息学院，黑龙江哈尔滨150030
Author(s):
CHAI Yu-hua; SUN Wei-lin
College of Electrical and Information，Northeast Agricultural University，Harbin 150030，China
关键词:
大豆;  机器视觉;  小波矩;  特征提取
Keywords:
Soybean;  Machine vision;  Wavelet moment;  Feature extraction
分类号:
S565. 1
DOI:
10.11861/j.issn.1000-9841.2016.04.0679
文献标志码:
A
摘要:
应用机器视觉技术对大豆的外观品质进行检测成为近年来的研究热点，大豆的外观特征提取是检测的重要内容之一。为提高大豆样本的识别率，减少噪声对特征提取造成的污染，提出了一种基于小波矩的大豆外观品质特征提取方法。该方法对大豆样本图像进行基于小波变换的不变矩特征提取，有效地解决了由于大豆本身存在的大小不同、移动等造成的特征不明的问题。试验证明: 此方法不仅能够精确地描述大豆外观品质特征而且对噪声不敏感，此方法识别精度高，正确识别率达到99%。
Abstract:
Using of machine vision technology in detecting the appearance quality of soybean has become a hot spot in recentyears. It is one of the important contents for the extraction of soybean sample image. In order to improve the recognition rateand reduce the noise pollution，a new method of extracting the appearance quality of soybean based on wavelet moment hasbeen proposed. The algorithm is based on the wavelet transform of the image of the soybean sample，which can effectivelysolve the problem of the size and movement of the soybean itself. Ｒesults showed that this method can not only accurately describethe characteristics of the appearance quality of soybeans，but also is not sensitive to the noise. This method achievedhigh recognition accuracy and correct recognition rate reached 99%.

参考文献/References:

［1］ 高志影. 国际大豆市场行情分析及中国对策研究［D］. 太原:山西财经大学，2008: 21-22. ( Gao Z Y. An analysis on internationalsoybean market and China’s counter measures ［D］.Taiyuan: Shanxi University of Finance and Economics，2008: 21-22. )

［2］ 高艳霞. 基于机器视觉的大豆外观品质检测技术研究［D］.武汉: 武汉工业大学，2007: 14-28. ( Gao Y X. Ｒesearch on thedetection technology of soybean appearance quality based on machinevision ［D］. Wuhan: Wuhan Industrial University，2007:14-28. )
［3］ 时玉强. 基于机器视觉的大豆品质的研究［D］. 哈尔滨: 东北农业大学，2009: 10-20. ( Shi Y Q. Analysis of the soybeanqualities based on machine vision technology［D］. Harbin: NortheastAgricultural University，2009: 10-20. )
［4］ 邹熠. 基于小波矩的图像内容识别技术研究［D］. 成都: 西南交通大学，2010: 19-21. ( Zou Y. Ｒesearch on the image contentecognition technology based on wavelet moment［D］. Chengdu:Southwest Jiao Tong University，2010: 19-21. )
［5］ 张虹，陈文楷. 一种基于小波矩的图像识别方法［J］. 北京工业大学学报，2004，30( 4) : 427-431. ( Zhang H，Chen W K. AMethod of image recognition based on wavelet moment［J］. Journalof Beijing University of Technology，2004，30( 4) : 427-431.
［6］ 刘光蓉. 基于几何不变矩的交通标志识别［J］. 武汉工业学院学报，2011: 58-61. ( Liu G Ｒ. Traffic signs recognition based ongeometry invariant moments［J］. Journal of Wuhan Polytechnic University，2011: 58-61. )
［7］ 董硕，柳渊，严汉民. Zernike 矩在医学图像处理中的应用［J］. 中国医学装备，2012，9( 9) : 61-64. ( Dong S，Liu Y，YanH M. Application of Zernike moments in medical image processing［J］. Chinese Medical Equipment，2012，9( 9) : 61-64. )
［8］ 韩勇，吴健，杨春平，等. 两种正交多项式模拟湍流波前的比较［J］. 光电工程，2008，35( 5) : 70-73. ( Han Y，Wu J，YangC P，et al. Comparison of two orthogonal polynomials simulationmethods for atmospheric wavefront［J］. Optoelectronic Engineering，2008，35 ( 5) : 70-73. )
［9］ 高中有. 基于机器视觉的万能工具显微镜改造［D］. 成都:四川大学，2006: 39-87. ( Gao Z Y. Ｒeform of universal measuringmicroscope based on machine vision［D］. Chengdu: SichuanUniversity，2006: 39-87. )
［10］ 丁兴号，邓善熙. Hu 矩和Zernike 矩在字符识别中的应用［J］. 工具技术，2003，37 ( 3) : 16-18. ( Ding X H，Deng S X.Application of Hu moments and zernike moments on character recognition［J］. Tool Technology，2003，37( 3) : 16-18. )
［11］ 赵建新，方堃. 一种基于小波特征的彩色图像分割算法［J］.硅谷，2009( 21) : 13-14. ( Zhao J X，Fang K. A color image segmentationalgorithm based on wavelet features［J］. Silicon Valley，2009( 21) : 13-14. )
［12］ 柴奇，徐浩彭，同武勤，等. 红外与可见光图像融合算法性能评估［J］. 火力与指挥控制，2009，34( 12) : 57-60. ( Chai Q，Xu H P，Tong W Q，et al. Performance evaluation of fusion algorithmfor visual and infrared images［J］. Fire and Command Control，2009，34( 12) : 57-60. )
［13］ 梅雪，林锦国. 基于图像边缘小波矩和支持向量机的目标识别［J］. 计算机工程与科学，2006，28( 7) : 60-69. ( Mei X，LinJ G. Target recognition based on wavelet moment and support vectormachines［J］. Computer Engineering and Science，2006，28( 7) : 60-69. )
［14］ 孙君顶，崔江涛，刘卫光，等. 基于熵的图像空间特征提取及检索方法［J］. 系统工程与电子技术，2006，28( 6) : 791-794.( Sun J D，Cui J T，Liu W G，et al. Spatial feature extraction andimage retrieval based on entropy［J］. System Engineering and ElectronicTechnology，2006，28( 6) : 791-794.
［15］ 缪思怡，孙炜，张海霞. 基于小波矩的高压输电线路除冰机器人障碍智能视觉识别方法［J］. 机器人，2010，32( 3) : 425-431. ( Miu S Y，Sun W，Zhang H X. Intelligent visual methodbased on wavelet moments for obstacle recognition of high voltagetransmission line decier robot ［J］. Ｒobot，2010，32 ( 3 ) :425-431.

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备注/Memo

基金项目: 黑龙江省自然科学基金重点项目( ZD201303) 。第一作者简介: 柴玉华( 1965-) ，女，教授，博导，主要从事模式识别与智能控制研究。E-mail: 1479186895@ qq． com。

更新日期/Last Update: 2016-08-23