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A Preprocessing Method for Drill Crop Row Extraction Based on Vanishing Point

A preprocessing, crop row technology, applied in image data processing, image analysis, image enhancement, etc., can solve the problems of local image processing field of view, field image detail interference, poor crop row extraction effect, etc.

Active Publication Date: 2020-10-23
JIANGXI AGRICULTURAL UNIVERSITY
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Problems solved by technology

[0006] The embodiment of the present invention provides a preprocessing method for extracting row crop rows based on vanishing points, which is used to solve the problems in the prior art that there are many details in the field image and the image processing field of view is relatively local, resulting in poor crop row extraction effect

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  • A Preprocessing Method for Drill Crop Row Extraction Based on Vanishing Point
  • A Preprocessing Method for Drill Crop Row Extraction Based on Vanishing Point
  • A Preprocessing Method for Drill Crop Row Extraction Based on Vanishing Point

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Embodiment Construction

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0046] The content of the present invention is focused on the extraction of row crop rows, and the oriented object is the field image acquired from the camera. It can be divided into two parts: using local information to detect the position of the vanishing point and the partial differential equation diffusion guided by the vanishing point. figure 1 A preprocessing method for extracting row crop rows based on vanishing points is provided for an embodiment of t...

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Abstract

The invention discloses an image preprocessing method for extracting row crop rows based on vanishing points, and relates to the field of agricultural engineering applications. The method includes two parts: one is a new practical method for determining the vanishing point of the image for the field image of linear drill crops. The second is to give a partial differential equation image processing model suitable for this type of field image. The present invention introduces the concept of vanishing point into the image evolution process, proposes a partial differential equation processing model based on vanishing point drive, uses this model to process field images of drill crops, and extracts crop row rows from the processed images, successfully avoiding the The problem of inaccurate extraction is caused by various interferences in field images.

Description

technical field [0001] The invention relates to the field of agricultural engineering applications, in particular to a preprocessing method for extracting row crop rows based on vanishing points. Background technique [0002] Extracting crop rows is a basic and critical task in modern precision agricultural engineering applications, which determines the accuracy of subsequent applications such as machine vision navigation, intelligent irrigation, and pesticide spraying. [0003] Usually people use Hough transform to complete the extraction of crop rows. This type of method first performs various preprocessing on the field image, including operations such as smoothing, color segmentation, and edge extraction, and then uses Hough transform to extract crop rows from the binary edge image. However, due to the extremely complex content of field images, when using Hough transform to extract drill rows, it is first necessary to extract the edge details of these field images. The ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/149G06T7/90
CPCG06T2207/20061G06T2207/30188G06T7/149G06T7/90
Inventor 伍健邓梦薇付莲莲
Owner JIANGXI AGRICULTURAL UNIVERSITY
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