Thermal modulation method for infrared gas image

Abstract

The invention discloses a thermal modulation method for an infrared gas image and belongs to the field of gas detection. The method comprises the following steps of: 1, multiplying a brightness mean value of the infrared gas image by a certain proportionality coefficient to serve as a segmentation threshold, segmenting the infrared gas image by using the segmentation threshold, and obtaining a low-brightness interval (0, T) and a high-brightness interval (T, 255); 2, selecting a brightness node, wherein the node is greater than the brightness mean value of the infrared gas image, performing gray stretch on the low-brightness interval (0, T), wherein the low-brightness interval is changed into (0, node), performing gray stretch on the high-brightness interval (T, 255), wherein the high-brightness interval is changed into (node, 255+node), and the gray interval of the image is (0, 255+node); converting the gray space of the image to the interval (0, 255), and obtaining a processed image; and 3, normalizing the gray of the image data of the processed image, performing gamma transform on the normalized image I', and obtaining a final image. The thermal modulation method is suitable for enhancement processing of the infrared gas image.

Description

technical field [0001] The invention relates to a thermal modulation method of gas infrared images, which is suitable for gas imaging leak detection based on infrared imaging technology and belongs to the field of gas 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. [0003] In 1985, Strachan et al. used a 353K (80°C) black body as the background to observe the butane gas ejected from the pipeline, and realized infrared imaging of gas leakage for the first time. Passive gas imaging is an emerging and flourishing field. [0004] In 1995, Jennifer of the United Kingdom proposed an adaptive time-domain filtering method combining median filtering and recursive filtering. This method can achieve better results when the noise level is not high. [0005] Passive gas...

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Problems solved by technology

[0007] In view of the defects of the above-mentioned gas infrared image and the existing processing algorithm, the purpose of the present invention is to solve the problems of dark brightness of the gas infrared image, low contrast between the gas diffusion area and the background image, and propose a thermal modulation method of the gas infrared image, which improves the single The overall brightness of the infrared image of the gas is increased, and the contrast between the gas diffusion area and the background image is enhanced

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