Plant identification and classification method based on three-dimensional point cloud contour fractal dimension value

A three-dimensional point cloud, recognition and classification technology, applied in character and pattern recognition, instruments, computer parts and other directions, can solve the problems of professional level influence, a large number of manual participation, etc., to achieve less errors, classification speed block, intelligent degree high effect

Pending Publication Date: 2020-02-07
刘秀萍
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  • Application Information

AI Technical Summary

Problems solved by technology

Method Calculate the fractal dimension value of the plant outline point cloud data by the Minkowski dimension method, first divide the spatial range of the preprocessed point cloud data into multi-scale cubic boxes, and count the non-empty cubic boxes corresponding to the division scale Then use the logarithmic value of the statistical results to make a log-log coordinate map, and finally obtain the slope of the fitted line through the points in the log-log coordinate map, that is, the fractal dimension value, and use the fractal dimension value of the three-dimensional point cloud contour of the plant to distinguish plant species , high degree of intelligence, efficient and accurate plant identification, overcomes the problem that the existing technology mainly relies on manual identification and classification, requires a lot of manual participation to complete the work, and the professional level of plant classification personnel will have a huge impact on the classification results. It is a new method of plant identification and classification with high value.

Method used

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  • Plant identification and classification method based on three-dimensional point cloud contour fractal dimension value
  • Plant identification and classification method based on three-dimensional point cloud contour fractal dimension value
  • Plant identification and classification method based on three-dimensional point cloud contour fractal dimension value

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Embodiment 1

[0087] Embodiment 1 uses the three-dimensional crown point cloud data of four camphor trees with leaves to calculate its fractal value according to the above process, and the fractal value fluctuates around 2.65, wherein the initial side length of the cube is set to 0.01, when the side length of the cube is very small , the corresponding points will deviate from the final fitting straight line result, and the camphor tree points with fewer point clouds will be farther away from the fitting straight line. The slope of the fitted line by the least squares method deflects clockwise, causing the slope of the fitted line to be smaller than when there is no such deviation point in the point set of the log-log coordinate map. The number of point clouds affects the sensitivity of the line fitting deviation to the division scale of the cubic box.

[0088] 2. Cubic box division scale parameter setting

Embodiment 2

[0091] In Example 2, the fractal dimension values ​​of the four camphor trees with leaves calculated by the least square method increase with the increase of the initial side length of the cube box, but the number of points in the corresponding logarithmic coordinate map point set is decreasing , resulting in fewer samples of the least squares method fitting the straight line, and a smaller number of point clouds will make the corresponding fractal dimension value more sensitive to the initial side length of the cube.

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Abstract

The invention provides a plant identification and classification method based on a three-dimensional point cloud contour fractal dimension value. Three-dimensional information of the surface of the measured object is rapidly and efficiently obtained by using a three-dimensional laser scanner; a fractal dimension value of the plant contour point cloud data is calculated through a Minkowski dimension method; plant types are distinguished by utilizing a plant three-dimensional point cloud contour fractal dimension value; intelligent degree is high, plant identification is high in efficiency and accuracy, the method is a brand-new scientific and technological means for acquiring object space three-dimensional coordinate information; three-dimensional information of a plant is obtained througha three-dimensional laser scanner; the plant identification work is changed from outdoor to indoor; plant characteristics are extracted by utilizing three-dimensional information of plants, plant classification is realized by utilizing the plant characteristics, the plant identification and classification method based on the three-dimensional point cloud contour fractal dimension value is small inworkload, high in classification speed, high in efficiency, low in cost and few in errors, and the accuracy and reliability of plant identification and classification are greatly improved.

Description

technical field [0001] The invention relates to a plant identification and classification method based on point clouds, in particular to a plant identification and classification method based on three-dimensional point cloud contour fractal values, and belongs to the technical field of plant identification and classification methods. Background technique [0002] Plants on the earth have a very important impact on the ecological environment and play an extremely important role in the entire earth's ecosystem. Therefore, it is particularly important to improve the identification and understanding of plants. Plant identification and classification is the premise and basic work for correct understanding and research of plants. It provides basic research results for the research of botany and ecology. Research on fast, accurate and convenient plant identification and classification methods has broad application prospects. In addition, urban and rural ecological construction and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/188G06F18/24
Inventor 刘秀萍高宏松
Owner 刘秀萍
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