Greenhouse crop digital-imaging method based on ARM and binocular vision

An imaging method and binocular vision technology, applied in the field of digital imaging, can solve problems such as algorithm design limitations, loss of plant shape depth information, and difficult pixel matching

Inactive Publication Date: 2015-07-22
TONGJI UNIV
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Problems solved by technology

Although the two-dimensional digital imaging and image processing technology is low in cost and easy to implement, the algorithm design has limitations, and it loses the morphological depth information of the plant and lacks authenticity.
This algor...

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  • Greenhouse crop digital-imaging method based on ARM and binocular vision
  • Greenhouse crop digital-imaging method based on ARM and binocular vision
  • Greenhouse crop digital-imaging method based on ARM and binocular vision

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Embodiment Construction

[0052] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0053] A digital imaging method for greenhouse crops based on ARM and binocular vision. The embedded platform of ARM is designed, so that the image data codec and data are transmitted between the embedded system and the PC upper computer, and the upper computer obtains more accurate results. The 3D point cloud information of crops is applicable to the greenhouse planting industry. Taking the digital imaging process of pepper potted crops as an example, such as figure 1 As shown, the greenhouse crop digital imaging method includes:

[0054] Step S1: Use the checkerboard calibration me...

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Abstract

The invention relates to a greenhouse crop digital-imaging method based on ARM and binocular vision. The greenhouse crop digital-imaging method includes steps of S1, calibrating a binocular video camera via a checkerboard calibration method, acquiring left-right images of greenhouse crops by the binocular video camera; S2, correcting the left-right images of the greenhouse crops of the step S1 stereoscopically by the ARM embedded platform and then matching by the improved self-adaptive weight stereoscopic matching algorithm to obtain an initial disparity map, and optimizing disparity of the initial disparity image to obtain a complete disparity map; S3, acquiring a three-dimensional point cloud of the greenhouse crops by means of the triangle ranging theory by an upper computer according to the complete disparity map of the step S2, and rendering the three-dimensional point cloud according to the left-right images of the greenhouse crops of the step S2 and displaying and storing. Compared with the prior art, the greenhouse crop digital-imaging method has the advantages that real-time three-dimensional point cloud information of the greenhouse crops can be obtained, so as to reflect growth conditions and provide control reference based on vision for automatically controlling the greenhouse environment, data accuracy is high, cost is low and the like.

Description

technical field [0001] The invention relates to the technical field of digital imaging, in particular to a digital imaging method for greenhouse crops based on ARM and binocular vision. Background technique [0002] The purpose of digital imaging of greenhouse crops is to acquire and measure the morphology and characteristics of crop plants (or organs) in digital images and three-dimensional point clouds, and analyze and process them. Its significance is that it not only facilitates the analysis of extremely complex and long-term life science research in a quantitative space-time coordinate system, shortens the research cycle, but also directly obtains quantitative crop growth observation results. The research on digital imaging method of greenhouse crops can provide visual basis for modern greenhouse environment control system, and can also provide reliable information source for robot picking system. [0003] At present, the digital research methods of crops are divided i...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 徐立鸿李大威张鹏林超峰刘志超王晓辉罗之韵
Owner TONGJI UNIV
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