Weed image identification method applied to intelligent agricultural machine

An intelligent machine and identification method technology, applied in the field of weed image identification, can solve the problems of no weed target location calculation, insufficient weed and crop distinction, etc., and achieve the effect of removing speckle noise

Inactive Publication Date: 2013-10-02
山东奥泰机械有限公司 +2
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  • Summary
  • Abstract
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  • Application Information

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Problems solved by technology

[0004] However, the current separation of weeds is mostly for the distinction between soil and vegetation, and the distinction between weeds and crops is not good enough, and there is no positioning operation for weed targets.

Method used

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  • Weed image identification method applied to intelligent agricultural machine
  • Weed image identification method applied to intelligent agricultural machine
  • Weed image identification method applied to intelligent agricultural machine

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Embodiment Construction

[0035] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0036] Embodiments of the present invention refer to Figure 1-4 shown.

[0037] Step (1) Obtain the original images of vegetation and soil in the farmland. Using a conventional CCD camera, the optical axis of the lens is kept parallel to the bottom of the farmland, and the image is transmitted to the microcontroller of the embedded system of the farmland robot in real time through the image acquisition card for image processing;

[0038] Step (2) image enhancement, filter and denoise the RGB values ​​in the original image respectively. Filter and denoise the original image. The noise includes device noise, salt and pepper noise, and quantization noise. The noise filtering process is shown in the following formula:

[0039] F R ( x , y ) ...

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Abstract

The invention discloses a weed identification method applied to an intelligent agricultural machine, which is characterized by comprising the following steps that (1), original images of vegetation and soil in farmland are obtained, a conventional CCD (Charge Coupled Device) camera is used, a lens optic axis is kept parallel to the bottom surface of the farmland, and the images are sent into a microcontroller of an embedded system of a farmland robot by an image acquisition card in real time for image processing; (2), image intensification is performed, RGB (Red, Green, Blue) values in the original images are subjected to filtering and noise reduction respectively, wherein noise includes equipment noise, impulse noise and quantizing noise; (3), image segmentation is performed, and an image of a weed target is obtained; (4), image noise reduction is performed; and (5), a central position (xcen, ycen) of the weed target is obtained.

Description

technical field [0001] The image recognition method of the present invention is specifically a weed image recognition method applied to agricultural intelligent machinery. Background technique [0002] Weeds compete with crops for water and nutrients, occupy farmland space, affect crop photosynthesis, interfere with crop growth, reduce crop yield and quality, and indirectly promote the breeding and spread of pests and diseases. [0003] As an automatic weeding device, agricultural intelligent machinery has received more and more attention. From the 1980s to the present, the research on weed detection and identification technology based on machine vision has experienced a development process from indoor to field; from non-real-time to real-time. The image recognition method mainly detects and recognizes the characteristics of plants, such as: shape features, texture features, multi-spectral features and color features, position features, etc. [0004] However, the current se...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/54
Inventor 尹晴张顺和方永亮
Owner 山东奥泰机械有限公司
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