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Kiwifruit recognition at nighttime using artificial lighting based on machine vision

International Journal of Agricultural and Biological Engineering 2015年第4期8卷 52-59页

作者： Fu Longsheng Wang Bin Cui Yongjie Su Shuai Yoshinori Gejima taiichi kobayashi College of Mechanical and Electronic Engineering Northwest A&F UniversityYangling 712100China Beijing Research Center of Intelligent Equipment for Agriculture Beijing 100089China Faculty of Agriculture University of MiyazakiMiyazaki 889-2192Japan

Most researches involved so far in kiwifruit harvesting robot suggest the scenario of harvesting in daytime for taking advantage of sunlight.A robot operating at nighttime can overcome the problem of low work efficiency and would help to minimize fruit *** addition,artificial lights can be used to ensure constant illumination instead of the variable natural sunlight for image *** paper aims to study the kiwifruit recognition at nighttime using artificial lighting based on machine ***,an RGB camera was placed underneath the canopy so that clusters of kiwifruits could be included in the ***,the images were segmented using an R-G color ***,a group of image processing conventional methods,such as Canny operator were applied to detect the *** image processing results showed that this capturing method could reduce the background noise and overcome any target *** experimental results showed that the optimal artificial lighting ranged approximately between 30-50 *** developed algorithm detected 88.3%of the fruits successfully.

关键词： Elliptic Hough transform image capturing method Kiwifruit minimal bounding rectangle optimal illumination intensity

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