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

doi:10.3969/j.issn.1004-1524.2016.09.22

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

• Biosystems Engineering • Previous Articles Next Articles

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

Abstract

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

CLC Number:

TP393

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.

References

[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)

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

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 13

Recommended Articles

Metrics

Comments

[1]	YANG Yiwei, XIAO Hua, CHEN Hu, XIAO Niejia, GUO Cheng. Structural characteristics of soil mite communities under different modes of rose-based agroforestry in Karst area [J]. Acta Agriculturae Zhejiangensis, 2021, 33(1): 112-121.
[2]	QIN Ling, ZHANG Xin, RONG Chunxiao, MO Chuanyuan, FAN Lu, YAN Jie, MENG Ying, ZHANG Manrang. Identification and expression analysis of polyamine oxidase (PAO) gene family in apple [J]. , 2020, 32(2): 262-273.
[3]	ZHANG Hanqing, LIU Ruiling, WU Weijie, DENG Shanggui, GAO Haiyan, CHEN Hangjun. Effect of apple polyphenols on quality and browning of fresh-cut lotus root [J]. , 2019, 31(9): 1549-1554.
[4]	LI Lu, HAN Qiang, WU Weijie, FANG Xiangjun, GAO Haiyan. Optimization of drying process of blueberry-apple reconstituted fruit cake and its influence on quality [J]. , 2019, 31(5): 816-822.
[5]	ZHANG Lizhi, FAN Sheng, AN Na, ZUO Xiya, GAO Cai, ZHANG Dong, HAN Mingyu. Identification and expression analysis of PAL gene family in apple [J]. , 2018, 30(12): 2031-2043.
[6]	SHAO Hongxia, CHEN Hongfei, ZHANG Dong, WU Haiqin, ZHAO Caiping, HAN Mingyu. Identification, evolution and expression analysis of the YABBY gene family in apple (Malus×domestica Borkh.) [J]. , 2017, 29(7): 1129-1138.
[7]	WU Qinggang, ZHANG Weiguo, CHANG Huawen, JIN Baohua, LIU Zhaoxia. Location of occluded apples based on gradient Hough transform [J]. , 2017, 29(6): 1009-1016.
[8]	LI Chunlan, YANG Yonghua, YANG Zhenkun, WANG Jinqiu, LIAO Weibiao. Comparison on the drought-resistance of five ornamental crabapple cultivars [J]. , 2017, 29(5): 782-790.
[9]	YANG Fuqin, FENG Haikuan, LI Zhenhai, YANG Guijun, DAI Huayang. Estimation of apple leaf chlorophyll content based on hyperspectral data [J]. , 2017, 29(10): 1742-1748.
[10]	YUAN Ji\\|cun， ZHAO De\\|ying*， XU Kai， CHENG Cun\\|gang. Effects of intermediate stock Liaozhen No.2 on nutrient contents in different parts of Huahong apple tree [J]. , 2016, 28(1): 70-.
[11]	CHEN Ping\\|zhao;SANG Zheng\\|lin;HE Mei;HUANG Xian\\|min;ZHANG Ze\\|jun;WANG Rui . Effects of exogenous bisulfite on photosynthetic pigments content and fruit growth of Red Fuji apple under different climate conditions [J]. , 2014, 26(1): 0-83.
[12]	LIU Jun;TAN Ji\\|cai;*;ZHONG Lang;WANG Zhi\\|gao. Evaluation of several agricultural practices in preventing the apple snails， Pomacea canaliculata， in the paddy fields [J]. , 2013, 25(6): 0-1325.
[13]	XU Li;ZHAO Kai*. Impact of regional economic environment on the competitiveness of apple industry: an empirical study from Shaanxi Province [J]. , 2010, 22(3): 0-392.