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On-ridge operation machine navigation path identification method based on field ridge color features

A technology of color features and operating machinery, applied in character and pattern recognition, computer parts, image data processing, etc., can solve problems such as inability to apply

Pending Publication Date: 2022-01-21
JIANGSU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method only recognizes the navigation path based on the scratch features

Method used

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  • On-ridge operation machine navigation path identification method based on field ridge color features
  • On-ridge operation machine navigation path identification method based on field ridge color features
  • On-ridge operation machine navigation path identification method based on field ridge color features

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Example Embodiment

[0050] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the protection scope of the present invention is not limited thereto.

[0051] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0052]In describing the present invention, it is to be understood that the terms "central", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "axial", The orientation or positional relationship indicated by "radial", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or...

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Abstract

The invention provides an on-ridge operation machine navigation path identification method based on field ridge color features, which comprises the following steps: carrying out gray scale reconstruction on a field ridge image by using a brightness information component as a basic information graph based on a gray scale reconstruction method to obtain a gray scale image; extracting pixel values of ridge surfaces and furrows in a grayscale image to obtain a threshold value for segmenting the image, and segmenting the grayscale image in a threshold segmentation mode to obtain a binary image; obtaining a ridge surface convex hull contour point set; and obtaining a center line of a ridge surface quadrangle through a quadrangle approaching method, and taking the center line of the ridge surface quadrangle as a navigation path. According to the invention, the recognition success rate is high, the recognition error is small, and navigation path recognition can be effectively carried out on ridges with different colors and textures.

Description

technical field [0001] The invention relates to the field of intelligent agricultural machinery or the field of technology identification and navigation or image recognition technology, in particular to a method for identifying navigation lines of operating machines on ridges based on the color characteristics of field ridges. Background technique [0002] The working environment of agricultural machinery is harsh, and autonomous navigation operations can reduce manual labor intensity and improve operational efficiency and accuracy. At present, autonomous navigation research mainly focuses on satellite positioning navigation and visual navigation. Transplanters, seeders and other ridge operation machines need to follow the ridge operations without crops. Visual navigation collects and processes field ridge images in real time and extracts navigation paths, which is more in line with the actual requirements of transplanter and seeder operations. [0003] At present, the navi...

Claims

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Application Information

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IPC IPC(8): G06V20/10G06T7/136G06T7/13G06T7/187
CPCG06T7/136G06T7/13G06T7/187G06T2207/10024
Inventor 胡建平刘嘉欣刘伟岳仁才姚梦娇李静
Owner JIANGSU UNIV
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