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Position: Home > Articles > Study on Image Edge Detection of Citrus reticulate Blanco ‘Fuju’ Based on Canny Operator Southeast Horticulture 2018 (6) 19-22

基于Canny算子的福橘图像边缘检测研究

作  者:
刘现;蔡淑芳;黄语燕
单  位:
福建省农业科学院数字农业研究所
关键词:
Canny算子;福橘;边缘检测
摘  要:
为了提高福橘大小测量的智能化程度,降低福橘在分选过程中的损伤,进一步提升福橘分选的效率,本文基于Canny算子进行福橘图像边缘检测研究并使用Sobel、Laplacian这两种常用的边缘检测算子与之进行对比试验。试验结果表明,基于Canny算子进行福橘图像边缘检测是可行的且检测效果优于另外2种算子。
译  名:
Study on Image Edge Detection of Citrus reticulate Blanco ‘Fuju’ Based on Canny Operator
作  者:
LIU Xian;CAI Shu-fang;HUANG Yu-yan;Digital Agriculture Research Institute,Fujian Academy of Agricultural Sciences;
单  位:
LIU Xian%CAI Shu-fang%HUANG Yu-yan%Digital Agriculture Research Institute,Fujian Academy of Agricultural Sciences
关键词:
Canny operator;;Citrus reticulate Blanco ‘Fuju’;;Edge detection
摘  要:
In order to improve the intellectualized degree of size measurement of Citrus reticulate Blanco ‘Fuju’, reduce damage in the process of sorting and further improve the efficiency of sorting, the edge detection of Citrus reticulate Blanco ‘Fuju’ image was studied based on Canny operator with comparison with Sobel and Laplacian operators. The experimental results showed that the image edge detection of Citrus reticulate Blanco ‘Fuju’ based on Canny operator was feasible and the detection effect of Canny operator was better than that of the other two operators.

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