文献类型： 外文期刊

作者： Fu Longsheng ¹ ; Wang Bin ¹ ; Cui Yongjie ¹ ; Su Shuai ² ; Gejima, Yoshinori ³ ; Kobayashi, Taiichi ³ ;

作者机构： 1.Northwest A&F Univ, Coll Mech & Elect Engn, Yangling 712100, Peoples R China

2.Beijing Res Ctr Intelligent Equipment Agr, Beijing 100089, Peoples R China

3.Miyazaki Univ, Fac Agr, Miyazaki 8892192, Japan

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

期刊名称：INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING （ 影响因子：2.032； 五年影响因子：2.137 ）

ISSN： 1934-6344

年卷期： 2015 年 8 卷 4 期

页码：

收录情况： SCI

摘要： 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 damage. In addition, artificial lights can be used to ensure constant illumination instead of the variable natural sunlight for image capturing. This paper aims to study the kiwifruit recognition at nighttime using artificial lighting based on machine vision. Firstly, an RGB camera was placed underneath the canopy so that clusters of kiwifruits could be included in the images. Next, the images were segmented using an R-G color model. Finally, a group of image processing conventional methods, such as Canny operator were applied to detect the fruits. The image processing results showed that this capturing method could reduce the background noise and overcome any target overlapping. The experimental results showed that the optimal artificial lighting ranged approximately between 30-50 lx. The developed algorithm detected 88.3% of the fruits successfully.