Local gray level-entropy difference leak detection locating method based on infrared image

A local grayscale, infrared image technology, applied in the field of detection, can solve problems such as inability to accurately locate leak points

Inactive Publication Date: 2013-07-24
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the leakage point cannot be accurately located only by the entropy information of the infrared imag

Method used

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  • Local gray level-entropy difference leak detection locating method based on infrared image
  • Local gray level-entropy difference leak detection locating method based on infrared image
  • Local gray level-entropy difference leak detection locating method based on infrared image

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Embodiment 1

[0055] The leakage detection and positioning method based on the local grayscale-entropy difference of the infrared image of the present invention, the specific steps are as follows:

[0056] The leakage point is detected and located based on the local gray-entropy difference algorithm. The algorithm flow is as follows: figure 1 shown.

[0057] Firstly, use the infrared imaging device to collect the infrared image of the measured object, transmit it to the control device and undergo a series of image processing operations for analysis, calculation of leakage and location of leakage points, and the detection results are displayed on the display device.

[0058] Collect the infrared images A and B of the measured object before and after inflation; such as figure 2 , image 3 shown.

[0059] Secondly, according to the following method, the local entropy matrix and local grayscale entropy matrix of infrared images A and B are calculated respectively.

[0060] (1) Calculate th...

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Abstract

The invention discloses a local gray level-entropy difference leak detecting algorithm based on an infrared image and belongs to the technical field of detecting. The innovation points of the local gray level-entropy difference leak detection locating algorithm based on an image entropy theory, an algorithm of local entropy of the infrared image to be detected is improved, and a local weighted entropy algorithm, a local variance weighted entropy algorithm, a local gray level-entropy algorithm, a local gray level-weighted entropy algorithm and a local gray level-variance weighted entropy algorithm are achieved. In terms of the six improved algorithms, a large number of experimental tests prove that a detecting capacity of the local gray level-entropy algorithm is the strongest, accordingly target detecting strategies and algorithm processes of the local gray level-entropy algorithm are confirmed, and accuracy and validity of the local gray level-entropy algorithm is verified. The local gray level-entropy difference leak detecting algorithm based on the infrared image not only inherits the advantages of an original local entropy difference method, but also well reflects that one point of the infrared image is presented by entropy information through introduction of gray level information, and the entropy information reflects distribution conditions of gray levels, highlights performances of high gray level areas, sensitively detecting temperature difference among images and acquires leaking targets.

Description

technical field [0001] The invention relates to a leakage detection and positioning method, in particular to a leakage detection and positioning method based on the local gray level-entropy difference of an infrared image, and belongs to the detection technical field. Background technique [0002] With the continuous development of industrial technology, industrial production has higher and higher requirements for product airtightness. Due to the needs of industrial applications, leak detection devices that use the physical or chemical properties of gases have emerged one after another, such as differential pressure leak detectors, ultrasonic leak detectors, halogen leak detectors, etc., but such instruments also have low detection accuracy and low detection efficiency. Low, high cost and other disadvantages. [0003] The emergence of infrared thermal imaging technology has brought a new direction to the development of modern non-destructive testing. Compared with other ty...

Claims

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Application Information

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IPC IPC(8): G01M3/02
Inventor 王涛金月丽范伟
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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