Detection and identification method for solenopsis invicta buren nest based on computer vision technology

A technology of computer vision and recognition method, which is applied in the direction of computer parts, calculation, character and pattern recognition, etc. It can solve the problems of low efficiency, time-consuming and labor-consuming, etc., and achieve the effect of uncomplicated algorithm, convenient installation and fast operation speed

Inactive Publication Date: 2018-04-20
SOUTH CHINA AGRI UNIV
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Problems solved by technology

If this method is used to investigate the RIFA epidemic situation, it will be time-consuming and labor-intensive, and the efficiency is very low

Method used

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  • Detection and identification method for solenopsis invicta buren nest based on computer vision technology
  • Detection and identification method for solenopsis invicta buren nest based on computer vision technology
  • Detection and identification method for solenopsis invicta buren nest based on computer vision technology

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Embodiment

[0022] The present invention is based on computer vision technology to the detection identification method of red fire ant nest, mainly carries out the accurate and rapid identification of red fire ant nest soil by distinguishing ant nest soil and other soil; ) to collect the spectral data information of RIFA nests and ordinary soil, and analyze the two kinds of spectral data information, and finally obtain the spectral characteristics of RIFA nest soil and other surrounding soils, so as to quickly judge and detect RIFA nests soil; in addition, according to the image of the RIFA nest soil, the host computer performs a series of image processing to identify the RIFA nest soil. The upper computer can use the image processing software Microsoft Visual Studio 2010.

[0023] Based on the detection of the ASDFieldSpec Pro FR spectroradiometer, the wavelength range is 300-1100nm, the spectral sampling interval is 1.6nm, and the sensitivity linearity is ±1%. It can be used for spectr...

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Abstract

The present invention relates to a detection and identification method for a solenopsis invicta buren nest based on a computer vision technology, belonging to the technical field of agricultural transport machine. The method comprises the steps of: employing a spectroradiometer to collect spectrum image information, and converting collected spectrum image data from an asd file to a txt file; performing data processing of the spectrum image information, wherein the data processing comprises data obtaining, data processing, data analysis and data verification; and extracting feature parameters of the solenopsis invicta buren nest by employing a digital image processing technology, establishing an HSV color space model, and determining whether soil in the solenopsis invicta buren nest is solenopsis invicta buren nest soil or not. Based on a high spectrum and an image technology, the detection and identification method for the solenopsis invicta buren nest based on the computer vision technology can perform detection of the ant nest soil and can find out spectral features, being different from other things around, of the solenopsis invicta buren nest, and finally can identify the solenopsis invicta buren nest soil based on images of the solenopsis invicta buren nest soil.

Description

technical field [0001] The invention relates to the technical field of hyperspectral signal acquisition and computer image processing, in particular to a method for detecting and identifying red fire ant nests based on computer vision technology. Background technique [0002] In agriculture, the analysis of near-infrared spectroscopy is widely used. In the electromagnetic spectrum, the visible light of 400-700nm enables life to survive, while the near-infrared spectrum (NIR, with a wavelength of 0.75-2.5μm) located outside the visible light can analyze biological of all components. Near Infrared Spectroscopy (Near Infrared Spectroscopy, NIRS) analysis technology is a testing technology developed rapidly in the late 1980s. At present, hyperspectral technology has been widely used in mining resources, soil, vegetation, precision agriculture, atmospheric environment and water environment monitoring, etc., fully demonstrating the advantages and potential of hyperspectral techno...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62G01N21/25
CPCG06T7/0012G01N21/25G06T2207/10048G06T2207/30004G06F18/24133
Inventor 吴伟斌许益镌高婷刘文超李泽艺张震邦杨晓彬刘佛良陈理付正德宋倩黄冰瑜
Owner SOUTH CHINA AGRI UNIV
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