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Infrared thermal imaging system MRTD objective evaluating method

A technology of infrared thermal imager and evaluation method, which is applied in the direction of radiation pyrometry, instrument, measuring device, etc., can solve the problems of gray scale difference, etc., and achieve the effect of reducing subjective error, objective interpretation and good repeatability

Inactive Publication Date: 2008-10-01
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0015] (3) Gray scale difference

Method used

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  • Infrared thermal imaging system MRTD objective evaluating method
  • Infrared thermal imaging system MRTD objective evaluating method
  • Infrared thermal imaging system MRTD objective evaluating method

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Embodiment

[0052] The present invention will be described in detail below in conjunction with examples and accompanying drawings.

[0053] 1. According to figure 1 Build a test system.

[0054] (1) The target target 2 is connected to the target target control unit 5, the special black body 3 is connected to the black body control unit 4, and the CCD camera 8 is connected to the image acquisition card of the computer control system 6.

[0055] (2) The infrared thermal imager 10 to be tested is connected to the monitor 9, and the infrared thermal imager 10 to be tested is placed before the optical alignment component 11, the temperature of the special blackbody 3 is set, and the target 2, the special blackbody 3 and the temperature to be tested are adjusted. The position of the thermal imaging camera 10 displays a four-bar target image with better contrast on the screen of the monitor 9 .

[0056] (3) Open the processing software in the computer control system 6, aim the CCD camera 8 at...

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Abstract

The invention relates to an objective assessing method for an infrared thermal imager MRTD, belonging to the infrared test field. The method equals the contrast of the feature quantity equalizing value to the contrast of the feature quantity background value C=L<max-bak> / L<tar>; the adjacent range value contrast C<max>=sigma|L<max-tar>-L<max-bak>| / L composes the feature vector to input the BP nerve network to process objective measurement for the infrared thermal imager MRTD parameter. L<tar> is four-bar target average grey value; the L<max-bak> is target (background) grey extremum; the L<max-tar> is four-bar target average grey extremum; L is the average value of the entire area grey. The method uses CCD camera to shoot the monitor, or collects the images directly via the image collecting card from the thermal imager video outputting port; the method also processes the feature vector of the four-bar target and the identifying state, and inputs the BP nerve network to process train. The trained network can process the state identification for the unknown four-bar feature vector and reduce the subjective errors read by human eyes and the errors caused by the weariness, having features of objective read and great repetitiveness.

Description

technical field [0001] The invention relates to the field of infrared testing, in particular to an objective evaluation method of an infrared thermal imager MRTD based on artificial neural network technology, which can be used to objectively evaluate the parameters of the infrared thermal imager MRTD. Background technique [0002] In recent years, with the wide use of various infrared imaging systems in military and civilian fields, the demand for performance evaluation of infrared imaging systems is also increasing. The core of infrared imaging system performance evaluation is the evaluation of imaging quality, and the minimum discernible temperature difference (MRTD) is a main parameter of its performance evaluation. [0003] At present, several domestic scientific research institutes have made some research achievements in the research of MRTD objective evaluation, for example: Sun Junyue and others from Changchun Institute of Optics, Fine Mechanics and Physics, Chinese A...

Claims

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Application Information

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IPC IPC(8): G01J5/00G06N3/02
Inventor 张旭升林家明沙定国王东伟赵维谦周桃庚何川陈凌峰
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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