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Biological species identification method based on multi-dimensional point cloud data

A point cloud data and biological technology, which is applied in image data processing, neural learning methods, electrical digital data processing, etc., can solve heavy problems and achieve the effects of convenient operation, convenient and efficient identification process, and high identification accuracy

Pending Publication Date: 2020-11-06
陈艳 +1
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Problems solved by technology

[0006] Returning to the identification of biological species, how to make better use of the characteristics of point cloud data and apply it to the field of identification, so as to liberate the identification personnel from the boring, heavy, repetitive, and inefficient identification work, and achieve good identification Accuracy, there is no relevant literature record before this, and this is also a technical problem that those skilled in the art need to solve

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  • Biological species identification method based on multi-dimensional point cloud data

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Embodiment Construction

[0044] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0045] To achieve the above object, the technical scheme of the present invention is as follows:

[0046] see figure 1 .

[0047] In this specific embodiment, a method for identifying Trogoderma grazingis obtained by scanning multi-dimensional point cloud data based on structured light scanning equipment, the method includes:

[0048] S1: Establish a key to Trogoderma gravy in advance;

[0049] S2: Obtain the overall point cloud data of the external shape contour of the inspection material with the structured light acquisition device;

[0050] S3: Split the overall point cloud data to obtain lo...

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Abstract

The invention discloses a biological species identification method based on multi-dimensional point cloud data. The method comprises the following steps: S1, pre-establishing a standard biological species classification retrieval table; s2, obtaining the overall point cloud data of the external form contour of the test material; s3, splitting the whole point cloud data to obtain local point clouddata representing the local contour of the detected material; s4, denoising the local point cloud data to obtain local point cloud data without noisy points; and S5, comparing the point cloud data without noise points with a standard biological species classification retrieval table to obtain a biological species identification result of the test material. The invention has the advantages of beingconvenient to operate, efficient in identification, accurate in identification and high in identification accuracy.

Description

technical field [0001] The invention belongs to the technical field of point cloud data application, in particular to a biometric identification method based on multidimensional point cloud data. Background technique [0002] In occasions such as import and export inspection and quarantine, natural environment scientific research, and judicial appraisal, it is often necessary to identify the inspection materials and identify the specific species information of the organisms included in the inspection materials. [0003] In the prior art, in order to realize the identification of biological species, the commonly used methods include morphological, serological, cytological, and biochemical methods. The process is quite complicated, and the requirements for preparation equipment, preparation environment and preparation personnel are particularly high, and most of the entire identification process is manual operation, the entire operation process is very complicated, the repeata...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46G06K9/34G06T5/00G06N3/04G06N3/08G06F16/583
CPCG06T5/00G06N3/08G06F16/5854G06V10/267G06V10/44G06V10/752G06V10/757G06N3/045G06F18/24
Inventor 陈艳夏贵勇
Owner 陈艳
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