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作者:

Gao, Guohua (Gao, Guohua.) | Wang, Shuangyou (Wang, Shuangyou.) | Shuai, Ciyin (Shuai, Ciyin.)

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摘要:

In order to recognize and detect tomatoes for providing accurate location information for tomato picking robot under the complex environment of facility greenhouse, the recognition and detection method based on YOLOV5 was adopted in this paper. The data enhancement method was used to improve the generalization ability of network model. The binocular camera was also used to collect images to match and calculate the central pixel of the detected tomatoes, according to the binocular ranging principle. At the same time, the parallax value of the detected tomatoes was compared with the real value in different environments. It is proved that the mAP of YOLOV5 method is 96%, the absolute value of stereo matching error is less than 3 pixels, and the matching time of single image is less than 10ms, which effectively improves the accuracy and efficiency of picking robot. © 2022 IEEE.

关键词:

Pixels Geometrical optics Stereo image processing Image enhancement Fruits Binoculars

作者机构:

  • [ 1 ] [Gao, Guohua]Beijing University of Technology, Faculty of Materials and Manufacturing, Beijing, China
  • [ 2 ] [Wang, Shuangyou]Beijing University of Technology, Faculty of Materials and Manufacturing, Beijing, China
  • [ 3 ] [Wang, Shuangyou]School of Software, Handan University, Handan, China
  • [ 4 ] [Shuai, Ciyin]Beijing University of Technology, Faculty of Materials and Manufacturing, Beijing, China

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年份: 2022

页码: 233-237

语种: 英文

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