基于改进二进制粒子群算法的苹果多特征提取分级研究

doi:10.3969/j.issn.1004-1524.2016.09.22

浙江农业学报 ›› 2016, Vol. 28 ›› Issue (9): 1609-1615.DOI: 10.3969/j.issn.1004-1524.2016.09.22

基于改进二进制粒子群算法的苹果多特征提取分级研究

张健, 张莉华

黄淮学院信息工程学院,河南驻马店 463000

收稿日期:2015-12-07 出版日期:2016-09-15 发布日期:2016-11-23
作者简介:张健(1980—),男,河南驻马店人,硕士研究生,讲师,从事信号处理、智能控制方面的研究。E-mail: hhzhj@foxmail.com
基金资助:
2015年河南省重点科技攻关项目农业类(152102110038)

Multi-feature extraction of apple grading based on improved binary particle swarm optimization algorithm

ZHANG Jian, ZHANG Li-hua

College of Information Engineering, HuangHuai University, Zhumadian 463000, China

Received:2015-12-07 Online:2016-09-15 Published:2016-11-23

摘要/Abstract

摘要： 为了提升对苹果分级的准确性,采用改进二进制粒子群算法对苹果多特征进行提取分级研究。首先建立苹果多特征提取量,包括大小、颜色、缺陷、形状特征;然后基于辅助搜索空间的二进制粒子群更新,对粒子位置增加状态翻转因子,根据收敛情况动态地获得单向翻转角度;接着通过Sigmoid函数、高斯函数对苹果多特征进行分级建模,确定了分段函数的参数值;最后给出了苹果分级的算法流程。实验仿真显示,该算法对苹果多特征提取分级的结果较其他算法更准确,且运行时间较少。

关键词: 苹果, 多特征, 翻转角度, 辅助空间, 分级

Abstract: In order to enhance the apple grade judgment, improved binary particle swarm optimization algorithm was proposed. Firstly, apple multi-feature extraction was established, which included size, color, defect and shape feature. Secondly, binary particle swarm space was updated with auxiliary search space, and position of particle was increased with state turnover factor, so that undirectional flip dynamic angle was made. Thirdly, model of the multi-feature classification of apple was established based on Sigmoid function and Gauss function, and the parameter values of the piecewise function was determined. Finally, the process was given. Simulation showed that improved binary particle swarm optimization was more accurate and had less time than other algorithm.

Key words: apple, multi-feature, flip angle, auxiliary space, grade judgment

中图分类号:

TP393

张健, 张莉华. 基于改进二进制粒子群算法的苹果多特征提取分级研究[J]. 浙江农业学报, 2016, 28(9): 1609-1615.

ZHANG Jian, ZHANG Li-hua. Multi-feature extraction of apple grading based on improved binary particle swarm optimization algorithm[J]. , 2016, 28(9): 1609-1615.

参考文献

[1] 王鑫,赵莹,杨简.基于视觉技术的苹果分拣系统设计[J].中国农机化学报,2014,35(5):169-172.
WANG X, ZHAO Y, YANG J. Design of fruits sorting system based on vision technology[J]. Journal of Chinese Agricultural Mechanization ,2014,35(5):169-172.(in Chinese with English abstract)
[2] 许立兵,朱启兵,黄敏.基于ARM的苹果采后田间分级检测系统设计[J].计算机工程与应用,2015,51(16):234-238.
XU L B, ZHU Q B, HUANG M. Design of In-field presorting system for apples based on ARM[J]. Computer Engineering and Applications ,2015,51(16):234-238. (in Chinese with English abstract)
[3] 殷勇,陶凯,于慧春.基于机器视觉的苹果分级中特征参量选择方法[J].农业机械学报,2012,43(6):118-121,127.
YIN Y, TAO K, YU H C. Feature selection method for apple grading based on machine vision [J]. Transactions of the Chinese Society for Agricultural Machinery , 2012, 43(6):118-121,127. (in Chinese with English abstract)
[4] 孟繁臻,宫元娟.基于PLC的寒富苹果自动分级生产线控制系统设计[J].农业科技与装备,2014(6):37-38.
MENG F Z, GONG Y J. Design of control system in automatic grading production line for Hanfu apple on PLC [J]. Agricultural Science & Technology and Equipment ,2014(6):37-38. (in Chinese with English abstract)
[5] 杨小青,党宏社.基于像素点变换法的苹果颜色分级系统研究[J].农机化研究,2012,34(3):203-206.
YANG X Q, DANG H S.A study on color grading system of apples based on the pixel transformation method [J]. Journal of Agricultural Mechanization Research , 2012, 34(3):203-206. (in Chinese with English abstract)
[6] 田丽娜.苹果分级检测算法的研究[D].咸阳:陕西科技大学,2013.
TIAN L N. Research on apple grading detection algorithm [D].Xianyang: Shaanxi University of Science and Technology,2013. (in Chinese with English abstract)
[7] 陈彩霞,王玉德,周福鹏.融合色度模型和半径大小的苹果分级算法[J].量子电子学报,2015,32(2):150-155.
CHEN C X, WANG Y D, ZHOU F P. An apple classification algorithm coalescing chromaticity model and fruit radius [J]. Chinese Journal of Quantum Electronics ,2015,32(2):150-155. (in Chinese with English abstract)
[8] 刘新庭,匡迎春,陈熵,等.基于最小外接圆直径的苹果分级研究[J].中国农学通报,2015,31(20):239-243.
LIU X T, KUANG Y C, CHEN S, et al. Research on apple grading based on the minimum circumscribed circle diameter[J]. Chinese Agricultural Science Bulletin ,2015,31(20):239-243. (in Chinese with English abstract)
[9] 徐多,李鹏.基于带辅助搜索空间的改进二进制粒子群算法的微网经济负荷分配研究[J].陕西电力,2014,42(6):1-5,11.
XU D, LI P. Study on economic dispatch of microgrid based on improved binary particle swarm optimization algorithm with auxiliary search space [J]. Shaanxi Electric Power ,2014,42(6):1-5,11.(in Chinese)
[10] NOUAOURIA N, BOUKADOUM M, PROULX R. Particle swarm classification: A survey and positioning[J]. Pattern Recognition ,2013,46(7):2028-2044.
[11] 豆增发.基于改进二进制粒子群优化的特征选择[J].现代导航,2014(3):214-218.
DOU Z F. Feature selection using improved binary particle swarm optimizer [J]. Modern Navigation , 2014(3):214-218. (in Chinese with English abstract)
[12] BANSAL J C, DEEP K. A modified binary particle swarm optimization for knapsack problems[J]. Applied Mathematics and Computation ,2012,22(15):11042-11061.
[13] 郭俊先,李俊伟,胡光辉,等.新疆冰糖心红富士苹果RGB图像多指标分析[J].新疆农业科学,2013,50(3):509-517.
GUO J X, LI J W, HU G H, et al. Analysis of multi-objective of Xinjiang Fuji apple by RGB image [J]. Xinjiang Agricultural Sciences ,2013,50(3):509-517. (in Chinese with English abstract)
[14] 祝谨惠.基于图像处理的水果物流分拣中的等级鉴定技术[J].计算机仿真, 2014, 33(3):416-418.
ZHU J H. Fruit grade appraisal technology for logistics sorting activities based on image processing [J]. Computer Simulation , 2014, 33(3):416-418. (in Chinese with English abstract)
[15] 李聪,高海燕,袁超.基于计算机视觉的苹果自动分级方法研究[J].计算机仿真,2012,29(9):293-296.
LI C, GAO H Y, YUAN C. Research on apple grading method based on computer vision [J]. Computer Simulation , 2012, 29(9):293-296. (in Chinese with English abstract)

基于改进二进制粒子群算法的苹果多特征提取分级研究

Multi-feature extraction of apple grading based on improved binary particle swarm optimization algorithm

RichHTML

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	杨乙未, 肖华, 陈浒, 肖聶佳, 郭城. 喀斯特地区不同玫瑰混农林模式的土壤螨类群落结构特征[J]. 浙江农业学报, 2021, 33(1): 112-121.
[2]	秦玲, 张鑫, 荣春笑, 莫传园, 范露, 闫婕, 孟莹, 张满让. 苹果多胺氧化酶(PAO)基因家族鉴定与表达分析[J]. 浙江农业学报, 2020, 32(2): 262-273.
[3]	张翰卿, 刘瑞玲, 吴伟杰, 邓尚贵, 郜海燕, 陈杭君. 苹果多酚对鲜切莲藕品质及褐变的影响[J]. 浙江农业学报, 2019, 31(9): 1549-1554.
[4]	李璐, 韩强, 吴伟杰, 房祥军, 郜海燕. 蓝莓苹果重组蜜饯干燥工艺优化及对品质的影响[J]. 浙江农业学报, 2019, 31(5): 816-822.
[5]	张丽之, 樊胜, 安娜, 左希亚, 高彩, 张东, 韩明玉. 苹果全基因组PAL基因家族成员的鉴定及表达分析[J]. 浙江农业学报, 2018, 30(12): 2031-2043.
[6]	邵红霞, 陈鸿飞, 张东, 吴海芹, 赵彩平, 韩明玉. 苹果YABBY基因家族的鉴定、进化及表达分析[J]. 浙江农业学报, 2017, 29(7): 1129-1138.
[7]	吴庆岗, 张卫国, 常化文, 金保华, 刘朝霞. 基于梯度Hough变换的遮挡苹果目标定位[J]. 浙江农业学报, 2017, 29(6): 1009-1016.
[8]	杨福芹, 冯海宽, 李振海, 杨贵军, 戴华阳. 基于高光谱的苹果叶片叶绿素含量估算[J]. 浙江农业学报, 2017, 29(10): 1742-1748.
[9]	张灵通，李寿宁，孙三民*. 基于纹理南疆红枣外观品质应用研究[J]. 浙江农业学报, 2016, 28(6): 1089-.
[10]	袁继存，赵德英*，徐锴，程存刚. 辽砧2号中间砧对华红苹果不同部位养分含量的影响[J]. 浙江农业学报, 2016, 28(1): 70-.
[11]	陈屏昭;桑正林;何嵋;黄先敏;张泽俊;王锐. 不同气候下亚硫酸氢盐对红富士苹果叶片光合色素含量和果实生长量的影响[J]. , 2014, 26(1): 0-83.
[12]	姚立健;边起;雷良育;赵大旭. 基于BP神经网络的水果分级研究[J]. , 2012, 24(5): 0-930.
[13]	陈茂铨;朱向秋. 不同防腐剂处理对甜樱桃氧化酶活性及保鲜效果的影响[J]. , 2012, 24(3): 0-448.
[14]	刘建军;姚立健;彭樟林. 基于机器视觉的山核桃等级检测技术[J]. , 2010, 22(6): 854-858.
[15]	徐立;赵凯*. 区域经济环境对陕西省苹果产业竞争力影响的实证研究[J]. , 2010, 22(3): 0-392.