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Image processing method, movement control method, and movement control system

A control system and image processing technology, applied in the field of image processing, can solve the problems of low image recognition accuracy, serial plant protection machines, large moving route errors, etc., to improve image recognition accuracy, improve algorithm robustness, The effect of improving accuracy

Active Publication Date: 2022-02-25
广东皓行科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the collected images may contain interference areas such as weed areas or other seedling ridge areas, the accuracy of image recognition is low, and the fitting error of seedling ridge lines is large, which makes the calculated moving route error large, which is easy to In the plant protection operation, problems such as plant protection machine series, wheel seedling rolling, and pesticide leakage occurred.

Method used

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  • Image processing method, movement control method, and movement control system
  • Image processing method, movement control method, and movement control system
  • Image processing method, movement control method, and movement control system

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Embodiment Construction

[0090] The terms used in the embodiments of the present application are only used to explain specific embodiments of the present application, and are not intended to limit the present application.

[0091] Existing technology 1 recognizes the collected images through feature extraction methods such as color and texture, which cannot adapt to outdoor farmland scenes and changes in natural light, and conditions such as lack of seedlings, crooked seedlings, and uneven growth of seedlings affect the recognition results. Due to the random spatial arrangement of the leaves of crops such as corn, the size and growth state of the crops are different, resulting in low computational efficiency of the method, large recognition errors, and low robustness of the algorithm.

[0092] The second existing technology is to use the deep learning method to identify the collected images. Since the deep learning requires a large number of accurate labels, the learning process takes a long time and t...

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Abstract

The embodiment of the invention provides an image processing method, a movement control method, and a movement control system. The movement control system comprises a camera device. The method comprises the following steps: obtaining a to-be-processed image and area parameters, wherein the to-be-processed image is obtained by shooting a shooting area by a camera device, and the area parameters are used for representing to-be-identified area parameters in the shooting area; based on the area parameters, extracting a first area from the to-be-processed image; performing feature extraction on the first area to obtain a plurality of target points; obtaining a moving route based on the plurality of target points.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to an image processing method, a movement control method, and a movement control system. Background technique [0002] In the farm, due to the walking error of the mobile control system such as the plant protection machine during the sowing operation of corn and other crops or the influence of soil fertility, weather (such as wind, rain, etc.), pests and diseases, etc. during the growth of corn and other crops, corn, etc. During the growth process of crops, there will be situations such as uneven growth, left and right tilting of plants, and plants in the same row or row are not on the same straight line. Therefore, when plant protection operations (such as spraying pesticides, etc.) are carried out on crops such as corn, it is necessary to adjust the movement route of the mobile control system in real time to avoid problems such as low efficiency of plant pro...

Claims

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Application Information

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IPC IPC(8): G06V20/10G06V10/44G06V10/762G06V10/764G06K9/62G06T7/70
CPCG06T7/70G06T2207/10016G06T2207/10024G06F18/23G06F18/24
Inventor 潘凯宋晓倩刘朋周森标苏泉吴秶菘邹小飞
Owner 广东皓行科技有限公司
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