Plant point cloud blade segmentation and phenotypic characteristic measurement method

A measurement method and point cloud technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as expensive equipment, unsuitable for cost-sensitive agricultural fields, and unsuitable for high-density plant canopies.

Inactive Publication Date: 2020-09-15
DONGHUA UNIV
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Problems solved by technology

On the one hand, these devices are relatively expensive and are not suitable for cost-sensitive agricultural fields
On the other hand, due to the limitation of the imaging angle, the effect is unsatisfactory for large plants with severe shading

Method used

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  • Plant point cloud blade segmentation and phenotypic characteristic measurement method
  • Plant point cloud blade segmentation and phenotypic characteristic measurement method
  • Plant point cloud blade segmentation and phenotypic characteristic measurement method

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Embodiment Construction

[0076] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art may make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0077] Such as figure 1 As shown, the present embodiment discloses a plant point cloud leaf segmentation and phenotypic feature measurement method, which includes the following steps:

[0078] Step 1: 102 images with a narrow baseline and more overlapping areas with a resolution of 4000×3000 were collected for the potted plant arrowroot (Maranta arundinacea). Some of its perspective images are as figure 2 (b) ~ (e) sho...

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Abstract

The invention provides a plant point cloud blade segmentation and phenotypic characteristic measurement method, comprising the steps: firstly, performing accurate point cloud three-dimensional reconstruction on potted plants by using a multi-view stereoscopic vision algorithm; secondly, removing non-blade parts in the plant point cloud by using a region and color-based filter and a normal vector difference algorithm; and then realizing single-blade segmentation on the canopy with the blade overlapping phenomenon by means of curvature information and a multi-feature region growth algorithm. Foreach single blade, a 3D bounding box of the blade is estimated by utilizing PCA, and the blade inclination angle can be calculated as an included angle between the height direction of the bounding box and the Z axis of a crop coordinate system, and the blade length and the blade width are the length and the width of the bounding box. The plant point cloud blade segmentation and phenotypic characteristic measurement method can realize automatic blade segmentation of potted plants with overlapped and clustered blades, has high precision and real-time performance for extracting phenotypic information such as blade area, blade length, blade width, blade inclination angle and the like, and is suitable for high-throughput blade phenotypic analysis.

Description

technical field [0001] The invention relates to the technical fields of digital agriculture, agricultural engineering and its automation, botany, etc., and in particular to a method for automatic leaf segmentation and phenotype measurement of plant point clouds based on multi-view three-dimensional reconstruction. Background technique [0002] Plant "phenotype" refers to a set of biological traits that can link the interaction between genotype and environment, intuitively reflect the growth state of the plant, and are the basis of all breeding processes. Plant phenotype is a comprehensive evaluation of complex traits such as plant growth and development, tolerance, resistance, structure, physiology, and yield. Usually, the quantitative analysis of plant phenotype mainly includes the following aspects: leaf characteristics, stem characteristics, fruit traits and root morphology. As the plant organ with the largest surface area, the leaf is the main place for plant photosynth...

Claims

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Application Information

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IPC IPC(8): G06T7/62G06T7/10
CPCG06T7/62G06T7/10G06T2207/10012
Inventor 李大威时国良
Owner DONGHUA UNIV
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