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Video image Chinese wolfberry branch detection method for Chinese wolfberry harvesting and clamping device

A video image and clamping device technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of difficulty in identifying the position of wolfberry branches, and achieve the effects of ensuring data reliability, reducing computing time, and saving memory

Active Publication Date: 2020-08-11
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the defect that it is difficult to identify the position of wolfberry branches in the prior art, and to provide a video image wolfberry branch for harvesting and clamping device of wolfberry detection method to solve the above problems

Method used

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  • Video image Chinese wolfberry branch detection method for Chinese wolfberry harvesting and clamping device
  • Video image Chinese wolfberry branch detection method for Chinese wolfberry harvesting and clamping device
  • Video image Chinese wolfberry branch detection method for Chinese wolfberry harvesting and clamping device

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Embodiment Construction

[0064] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:

[0065] Such as figure 1 Shown, the present invention relates to a kind of video image Lycium barbarum branch detection method that is used for Lycium barbarum harvesting clamping device, comprises the following steps:

[0066] The first step is the acquisition and preprocessing of training samples: collect video images of wolfberry branches in the field or use the images of wolfberry branches in the sample library, divide and process them into RGB wolfberry branch images by frame, and normalize their size to 1024*1024 pixels. And mark the position of each wolfberry leaf in the image and the two key points of the tip and end of the wolfberry leaf, and mark the intersection point of each wolfberry leaf stem and branch.

[0067] The sec...

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Abstract

The invention relates to a video image Chinese wolfberry branch detection method for a Chinese wolfberry harvesting and clamping device. Compared with the prior art, the defect that the position of aChinese wolfberry branch is difficult to identify is overcome. The method comprises the following steps: obtaining and preprocessing a training sample; constructing and training a Chinese wolfberry leaf and key point detection network; constructing and training a Chinese wolfberry branch positioning model; collecting and preprocessing video images of the Chinese wolfberry branches to be detected;and obtaining a Chinese wolfberry branch detection result. According to the invention, the selection method of the ROIAlign input feature map in the traditional Mask-RCNN is optimized; meanwhile, description of a target area is improved according to the shape of a Chinese wolfberry leaf, and an inclined frame with a direction is used for replacing a common rectangular frame, so that on the basis of ensuring the data reliability, the memory space is reduced, and the branch identification and positioning accuracy and efficiency are improved.

Description

technical field [0001] The invention relates to the technical field of wolfberry harvesting, in particular to a method for detecting wolfberry branches using a video image of a wolfberry harvesting clamping device. Background technique [0002] In my country, the planting area of ​​wolfberry is constantly expanding, and the picking of wolfberry has become a bottleneck problem that restricts the sustainable development of the wolfberry industry. Since there is no mature picking machinery in the domestic and foreign markets, the harvesting of wolfberry mainly depends on manual work, but manual picking The efficiency of harvesting wolfberry is only 3-5kg / h, and the required cost reaches more than 50% of the production cost. The development of wolfberry harvesting machinery adapted to my country's national conditions is of great significance to reduce the required costs, increase farmers' income, and ensure the steady and sustainable development of the wolfberry industry. [000...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/46G06K9/62G06N3/04G06N3/08G06T7/70
CPCG06T7/70G06N3/08G06T2207/30204G06T2207/20081G06T2207/20084G06V20/40G06V10/25G06V10/56G06V20/68G06N3/045G06F18/241G06F18/253
Inventor 贾秀芳李伟王红艳王儒敬孙丙宇黄河李娇娥孙友强史杨
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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