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Plant leaf inclination angle calculation method based on three-dimensional point cloud data

A technology of three-dimensional point cloud and calculation method, applied in the field of computer vision, can solve the problems of unguaranteed accuracy, low degree of automation, energy and time consumption, etc., to save the time of manual measurement and achieve the effect of high degree of automation

Inactive Publication Date: 2017-09-22
NANJING AGRICULTURAL UNIVERSITY
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0006] Due to the way of manual measurement, fatigue is inevitable, and the accuracy cannot be guaranteed;
[0007] Due to the way of manual measurement, the degree of automation is low, and it is labor-intensive and time-consuming

Method used

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  • Plant leaf inclination angle calculation method based on three-dimensional point cloud data
  • Plant leaf inclination angle calculation method based on three-dimensional point cloud data
  • Plant leaf inclination angle calculation method based on three-dimensional point cloud data

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Embodiment Construction

[0035] The present invention will be further described below in conjunction with embodiment, but protection scope of the present invention is not limited to this:

[0036] Step (1): This embodiment proposes to use the Kinect sensor to scan the leaves of the simulated plant growth state to explain and analyze the operation steps and the effect of the scheme. The experimental environment is as follows: on the campus of Nanjing Agricultural University, the branches with leaves were taped and placed on top of Wangzai cans to simulate the growth state of plant leaves. As a whole, they were placed on the single side wall of the B616 laboratory of the teaching building Beside, make Kinect stand on the ground, carry out the shooting of plant leaves. The scanned plant leaves and environment such as figure 1 shown.

[0037] Step 2: First, the scanned leaves will be noisy due to the camera itself or the surrounding environment, so the voxelized grid-based down-sampling filtering algori...

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Abstract

The invention discloses a plant leaf inclination angle calculation method based on three-dimensional point cloud data. According to the method, scanning of an environment simulating the growing state of plant leaves is realized through a Kinect sensor, and three-dimensional reconstruction of the plant leaves is realized through a series of processes of filtering, partitioning, registration and surface reconstruction algorithms. For reconstructed three-dimensional leaves, an OBB algorithm is proposed to establish a minimum circumscribed cuboid for the reconstructed plant leaves, then a normal vector of the minimum circumscribed cuboid is calculated, and finally an included angle, namely a leaf inclination angle, between the normal vector and a normal vector perpendicular to the ground is solved. Different from a traditional leaf inclination angle manual measurement process, the method is high in automation degree, and manual measurement time is greatly saved.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a method for calculating the inclination angle of plant leaves based on three-dimensional point cloud data. Background technique [0002] Leaf is the main site of plant photosynthesis and transpiration, which plays an important role in plant growth and crop yield. Leaf angle is the angle between the normal direction of the blade surface and the direction of the zenith angle, and its value range is [0°, 90°]. The distribution of leaf inclination directly determines the amount of radiation intercepted by the vegetation canopy, and also plays a decisive role in the magnitude and direction of incident solar radiation. [0003] Usually the traditional calculation steps of leaf inclination angle are: [0004] (1) Put the stem of the plant against the upright wooden board nailed with white paper, and draw on the paper with the stem as the vertical axis. (2) Make the leaves be in the st...

Claims

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Application Information

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IPC IPC(8): G06T17/30G06T5/00G06T7/194
CPCG06T7/194G06T17/30G06T2207/30188G06T5/70
Inventor 谢元澄巨建肖
Owner NANJING AGRICULTURAL UNIVERSITY
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