Plant seedling image segmentation method and device, electronic equipment and medium

A technology of image segmentation and seedlings, which is applied in the field of image processing, can solve the problems of lack of manual correction, low work efficiency of artificial intelligence rice transplanters, increased costs, etc., achieve good segmentation results, simplify determining factors, and improve work efficiency.

Pending Publication Date: 2021-08-06
上海西虹桥导航技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, when the artificial intelligence rice transplanter is transplanting, due to the lack of manual calibration, poor sensor work in rain, fog, ice and snow, and interference from debris such as soil, rocks, and mulch, it is impossible to detect abnormalities such as rice seedlings not being inserted normally in time, so it may be necessary. Manual replanting or re-operation leads to low work efficiency of artificial intelligence rice transplanters, thus increasing unnecessary costs

Method used

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  • Plant seedling image segmentation method and device, electronic equipment and medium
  • Plant seedling image segmentation method and device, electronic equipment and medium
  • Plant seedling image segmentation method and device, electronic equipment and medium

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Embodiment 1

[0027] figure 1 It is a flow chart of the method for image segmentation of plant seedlings provided by the embodiment of the present invention. This embodiment is applicable to the situation of segmenting the image of plant seedlings, and the method can be executed by the image segmentation device of plant seedlings in the embodiment of the present invention , the device can be realized by means of software and / or hardware, and the method in the embodiment of the present invention specifically includes the following steps:

[0028] Step S101, acquiring an RGB image of a planting area of ​​a plant seedling.

[0029] Optionally, acquiring the RGB image of the planting area of ​​the plant seedling may include: acquiring the original image of the planting area of ​​the plant seedling; correcting the color space of the original image through gamma correction to obtain the RGB image.

[0030] Specifically, the plant seedlings may be rice seedlings, and the specific types of plants ...

Embodiment 2

[0068] figure 2 It is a flow chart of the image segmentation method for plant seedlings provided by the embodiment of the present invention. This embodiment is based on the above-mentioned embodiment. After obtaining the specified candidate mask image according to the HSV image, it also includes: determining whether the specified candidate image is Qualified seedling area.

[0069] like figure 2 As shown, the method of the embodiment of the present disclosure specifically includes:

[0070] Step S201, acquiring an RGB image of a planting area of ​​a plant seedling.

[0071] Optionally, acquiring the RGB image of the planting area of ​​the plant seedling may include: acquiring the original image of the planting area of ​​the plant seedling; correcting the color space of the original image through gamma correction to obtain the RGB image.

[0072] Step S202, performing color space conversion on the RGB image to obtain the HSV image of the planting area of ​​the plant seedli...

Embodiment 3

[0084] image 3 It is a schematic structural diagram of an image segmentation device for plant seedlings provided by an embodiment of the present invention, specifically including: an RGB image acquisition module 310 of a plant seedling planting area, an HSV image acquisition module 320 of a plant seedling planting area, and a specified alternative mask image An acquisition module 330 and an image segmentation module 340 of plant seedlings.

[0085] Wherein, the RGB image acquisition module 310 of the plant seedling planting area is used to acquire the RGB image of the plant seedling planting area;

[0086] The HSV image acquisition module 320 of the plant seedling planting area is used to perform color space conversion on the RGB image to obtain the HSV image of the plant seedling planting area;

[0087] A designated candidate mask image acquisition module 330, configured to acquire a designated candidate mask image according to the HSV image;

[0088] The image segmentatio...

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Abstract

The invention discloses a plant seedling image segmentation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring an RGB image of a plant seedling planting area; performing color space conversion on the RGB image to obtain an HSV image of the plant seedling planting area; acquiring a specified alternative mask image according to the HSV image; and segmenting the RGB image according to the specified alternative mask image to obtain a segmented image containing the plant seedling. The RGB image of the plant seedling planting area is spatially converted to obtain the HSV image, the determination factor of the plant color is simplified, the RGB image is segmented based on the specified alternative mask image obtained by the HSV image, the segmented image containing the plant seedling is accurately obtained, the segmentation effect is good, abnormal conditions such as abnormal insertion of the seedling can be found in time, and the working efficiency of plant planting is improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular to a method, device, electronic equipment and media for image segmentation of plant seedlings. Background technique [0002] In the field of crop planting, such as the planting process of rice seedlings, simply relying on manual transplanting of rice seedlings cannot meet the needs of modern agricultural planting due to low efficiency. With the development of intelligent agricultural machinery, the use of artificial intelligence transplanters for automatic transplanting can significantly improve planting efficiency. [0003] However, when the artificial intelligence rice transplanter is transplanting, due to the lack of manual calibration, poor sensor work in rain, fog, ice and snow, and interference from debris such as soil, rocks, and mulch, it is impossible to detect abnormalities such as rice seedlings not being inserted normally in time, so it...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/136G06K9/32G06K9/62
CPCG06T7/11G06T7/136G06T2207/10004G06T2207/10024G06T2207/20081G06V10/25G06F18/23213
Inventor 兰志才王朝锟李坚
Owner 上海西虹桥导航技术有限公司
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