Method for enhancing gas infrared image based on self-adaption time-domain filtering and morphology

A technology of time-domain filtering and image enhancement, applied in image enhancement, image data processing, instruments, etc., can solve the problems of high noise level of gas infrared image and inconspicuous gas visible area, etc., achieve the removal of rigid requirements and reduce the cost of hardware equipment required effect

Inactive Publication Date: 2012-07-25
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0004] In view of the defects of the above-mentioned gas infrared image quality and existing processing algorithms, the purpose of the present invention is to solve the problems of high noise level of gas infrared image and inconspicuous gas visible area, and propose a method based on the c

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  • Method for enhancing gas infrared image based on self-adaption time-domain filtering and morphology
  • Method for enhancing gas infrared image based on self-adaption time-domain filtering and morphology
  • Method for enhancing gas infrared image based on self-adaption time-domain filtering and morphology

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[0027] In order to further illustrate the purpose and advantages of the present invention, the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0028] In this embodiment, adaptive time-domain filtering and morphological methods are used to analyze the CO captured by the medium-wave thermal imager. 2 Gas videos are denoised and enhanced. Its specific implementation process includes figure 1 Steps shown:

[0029] Step 1. In the time domain, the dynamic video V captured by the thermal imager is IR Perform adaptive time-domain filtering, and use a threshold to segment the background and moving gas to obtain the filtered image I mean .

[0030] Adaptive time-domain filtering includes recursive filtering and mean filtering. The recursive filtering method uses the weight recursive method to filter the current image I in the video n Recursive result y with all previous frames n-1 Perform weight summation...

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Abstract

The invention relates to a method for enhancing a gas infrared image based on self-adaption time-domain filtering and morphology and belongs to the field of gas leakage detection. Specific to a medium-wave infrared/long-wave infrared gas leakage video sequence image with lower signal to noise ratio and contrast ratio, the method comprises the following steps: combining recursion filtering and mean value filtering according to a self-adaption time-domain filtering method, and reducing the random noise of a background area furthest; enhancing a gas diffusion area by adopting a frame difference operation and a difference image accumulating method; and then expanding a gas area by adopting a morphological method and further reducing noise; and lastly, in view of more sensitivity of human eyes to color, applying color rendering to the gas diffusion area, thereby obtaining the gas infrared image with a color-enhanced gas area and an increased signal to noise ratio. According to the method provided by the invention, the visibility of gas leakage is obviously enhanced, and an observer can conveniently and timely find gas leakage and position the gas leaking part and the gas diffusion area. Due to the invention, the leakage of various colorless and odorless gases can be detected.

Description

technical field [0001] The invention relates to a gas infrared video sequence image enhancement method based on adaptive time-domain filtering and morphology, belonging to the field of gas leakage detection. Background technique [0002] Most dangerous gases are colorless and odorless, and it is difficult for people to detect the gas leakage directly through vision or smell, which has caused great hidden dangers to the safety of people's lives and properties. Passive gas imaging technology uses medium-wave or long-wave infrared imaging technology to visualize the absorption of infrared radiation in the 3-14 μm band by gas, and at the same time uses image processing technology to improve image quality. It is a fast qualitative detection technology based on human eye observation. It is a useful supplement to quantitative gas concentration detection technology (such as gas sensor) and gas type discrimination technology (such as infrared spectrometer). [0003] In 1985, Stracha...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 王岭雪张长兴高岳
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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