[1]刘同海,滕光辉,付为森,等. 基于机器视觉的猪体体尺测点提取算法与应用[J]. 农业工程学报,2013,29(2):161-168.
[2]刘波,朱伟兴,霍冠英. 生猪轮廓红外与光学图像的融合算法[J]. 农业工程学报,2013,29(17):113-120.
[3]江杰,周丽娜,李刚. 基于机器视觉的羊体体尺测量[J]. 计算机应用,2014,34(3):846-850,887.
[4]赵建敏,许晓伟,贾慧媛. 基于Kinect体感传感器的心理宣泄系统的实现[J]. 传感器与微系统,2014,33(8):119-122.
[5]王琰滨,蒋龙泉,冯瑞. 一种低图像质量车辆牌照的字符分割方法[J]. 计算机应用与软件,2013,30(3):108-110,117.
[6]田亚磊,高腾云,白继武,等. 河南小尾寒羊体尺与体重的相关性分析[J]. 中国畜牧兽医,2009,36(11):200-202.
[7]王德超,涂亚庆,张铁楠. 一种多尺度Harris角点检测方法[J]. 计算机应用与软件,2008,25(12):242-243,262.
[8]郭娟娟,钟宝江. U弦长曲率:一种离散曲率计算方法[J]. 模式识别与人工智能,2014,27(8):683-691.
[9]钟宝江,廖文和. 基于精化曲线累加弦长的角点检测技术[J]. 计算机辅助设计与图形学学报,2004,16(7):939-943.
[1]周洪刚,康敏.基于机器视觉的成熟柑橘自动识别研究[J].江苏农业科学,2013,41(06):380.
Zhou Honggang,et al.Research on automatic recognizing of mature oranges based on machine vision[J].Jiangsu Agricultural Sciences,2013,41(11):380.
[2]丁竹青,李晓良,张若宇,等.基于LabVIEW Vision的加工番茄表面霉斑缺陷检测[J].江苏农业科学,2015,43(05):302.
Ding Zhuqing,et al.Study on mildew defect detection of processing tomato based on LabVIEW Vision[J].Jiangsu Agricultural Sciences,2015,43(11):302.
[3]申爱敏,霍晓静,王文娣,等.基于机器视觉的核桃仁大小自动分级技术[J].江苏农业科学,2016,44(09):383.
Shen Aimin,et al.Automatic size classification technology of walnut kernel based on machine vision[J].Jiangsu Agricultural Sciences,2016,44(11):383.
[4]梁培生,孙辉,张国政,等.基于主成分分析和BP神经网络的蚕蛹分类方法[J].江苏农业科学,2016,44(10):428.
Liang Peisheng,et al.Study on classification of silkworm chrysalis based on principal component analysis and BP neural network[J].Jiangsu Agricultural Sciences,2016,44(11):428.
[5]赵建敏,薛晓波,李琦.基于机器视觉的马铃薯病害识别系统[J].江苏农业科学,2017,45(02):198.
Zhao Jianmin,et al.Design of potato disease identification system based on machine vision[J].Jiangsu Agricultural Sciences,2017,45(11):198.
[6]罗匡男,彭琳,齐伟恒.基于机器视觉的三七叶片病斑识别[J].江苏农业科学,2017,45(24):209.
Luo Kuangnan,et al.Recognition of Panax notoginseng leaf diseases based on machine vision[J].Jiangsu Agricultural Sciences,2017,45(11):209.
[7]刘航,郭俊先,王勇,等.基于机器视觉核桃大小分级系统的软件设计[J].江苏农业科学,2018,46(04):194.
Liu Hang,et al.Software design of walnut size grading system based on machine vision[J].Jiangsu Agricultural Sciences,2018,46(11):194.
[8]蔡建,周军,史建新,等.基于机器视觉的核桃仁分级方法[J].江苏农业科学,2018,46(05):158.
Cai Jian,et al.Walnut kernel grading method based on machine vision[J].Jiangsu Agricultural Sciences,2018,46(11):158.
[9]侯占峰,田海清,刘超,等.基于多信息融合技术的河套蜜瓜品质评价[J].江苏农业科学,2018,46(06):159.
Hou Zhanfeng,et al.Quality evaluation of Hetao muskmelon based on multi-sensor information fusion[J].Jiangsu Agricultural Sciences,2018,46(11):159.
[10]文怀兴,王春普,黄正祥.基于机器视觉的温室大枣表型特征测量[J].江苏农业科学,2018,46(06):182.
Wen Huaixing,et al.Measurement of phenotypic characteristics of jujube in greenhouse based on machine vision[J].Jiangsu Agricultural Sciences,2018,46(11):182.