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Agricultural machine navigation path extraction method under weed environment

A technology of navigation path and extraction method, which is applied in the field of image processing and can solve problems such as poor real-time performance and low reliability

Active Publication Date: 2014-01-22
CHINA AGRI UNIV
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Problems solved by technology

[0010] The invention provides a method for extracting the navigation path of agricultural machinery in a weed environment. The method can better improve the extraction speed of the navigation path, reduce the influence of weeds, improve the reliability of the navigation path extraction, and solve the problem of real-time extraction of the agricultural machinery navigation path. Poor performance, low reliability and other issues

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  • Agricultural machine navigation path extraction method under weed environment
  • Agricultural machine navigation path extraction method under weed environment
  • Agricultural machine navigation path extraction method under weed environment

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Embodiment Construction

[0033] The technical solutions of the embodiments of the present invention will be described in further detail below with reference to the drawings and embodiments.

[0034] The method for extracting the navigation path of agricultural machinery in a weedy environment provided by the present invention is mainly aimed at realizing the fast and reliable extraction of the navigation path of agricultural machinery under natural conditions. The following embodiments choose corn images containing weeds as the example.

[0035] figure 1 According to the method for extracting the navigation path of agricultural machinery under the weed environment according to the present invention, the method comprises the following steps:

[0036] Step 1: Collect crop images. Adjust the height and angle of the camera installed on the weeding machine so that a certain row of crops in the image is at an angle of 70 to 85 degrees to the horizontal direction. The navigation line is extracted from the...

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Abstract

The invention discloses an agricultural machine navigation path extraction method under a weed environment. The extraction method comprises the following steps: acquiring a crop image; determining an interesting region according to the acquired image; converting the interesting region into a binary image; dividing the binary image into a plurality of horizontal strips for processing; performing vertical projection on the pixel value in each strip to obtain a plurality of projection curves; performing binarization processing on all projection curves; determining a dynamic interesting region; extracting characteristic points in all strips according a high value position in the dynamic interesting region; fitting all characteristic points by using the least square method to obtain a navigation path. The defects such as poor reliability of agricultural machine navigation line extraction under the environments of many weeds are overcome.

Description

technical field [0001] The invention relates to an image processing technology, in particular to a method for extracting an agricultural machinery navigation path in a weed environment. Background technique [0002] With the improvement of the cost performance of sensors, the automatic navigation technology of agricultural machinery with machine vision and satellite positioning as the core has increasingly become a research hotspot. Navigation technology is widely used in various agricultural operations (such as weeding, sowing, harvesting, etc.). Navigation functions directly affect the efficiency, reliability and stability of agricultural machinery. Agricultural navigation technology is relatively difficult, and it can be divided into GPS navigation, inertial navigation and machine vision navigation according to the type. Because the machine vision navigation method has the advantages of wide signal detection range and complete information, it has been widely used with t...

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06T7/60G01C21/20
Inventor 张漫刘刚司永胜李民赞孟庆宽仇瑞承
Owner CHINA AGRI UNIV
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