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.
CN113223016APending Publication Date: 2021-08-06上海西虹桥导航技术有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
上海西虹桥导航技术有限公司
Publication Date
2021-08-06

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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.
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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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