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Transform domain neighborhood self-adapting image denoising method for detecting fire accident

A fire detection and image noise reduction technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as noise pollution of fire detection images, and achieve the effect of reducing noise level, improving noise reduction performance, and improving quality

Active Publication Date: 2012-05-09
SHANGHAI FIRE RES INST OF THE MIN OF PUBLIC SECURITY +1
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is that the fire detection image in the existing infrared fire detection technology is polluted by noise during the acquisition and transmission process, and at the same time, the existing image noise reduction method cannot achieve ideal noise reduction for it

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  • Transform domain neighborhood self-adapting image denoising method for detecting fire accident
  • Transform domain neighborhood self-adapting image denoising method for detecting fire accident
  • Transform domain neighborhood self-adapting image denoising method for detecting fire accident

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Embodiment Construction

[0027] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific illustrations.

[0028] In order to be able to solve the problem that the fire detection image in the existing infrared fire detection technology is polluted by noise during the acquisition and transmission process, and the existing image noise reduction method cannot achieve ideal noise reduction for it. The present invention adopts such as figure 1 The transformation domain neighborhood adaptive image noise reduction method that can be applied to fire detection is shown, and the implementation steps of this method are as follows:

[0029] (1) Perform multi-scale and multi-directional NSCT sparse decomposition on the noisy infrared fire detection image to obtain a low-frequency sub-image and a series of multi-scale and multi-directional high-frequency sub-image...

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Abstract

The invention discloses a transform domain neighborhood self-adapting image denoising method for detecting a fire accident, comprising the following steps: firstly performing sparse decomposition to a noise infrared fire accident detection image by non-sampling Contourlet with a plurality of sizes and directions, using a Laplace distribution according to the decomposed high frequency images, using a Bayes evaluating method to evaluate the overall best threshold value; using a neighborhood static characteristic to modify the overall threshold value, and getting a self-adapting threshold value of each pixel point of the high frequency image, processing the threshold value of the high frequency image, removing the noise content in the image, using non-sampling Contourlet split conversion to get the pre-denoising image and reach the denoising effect. The method can effectively reduce the noise level of the infrared fire detection image and increase the quality of the fire detection image.

Description

Technical field: [0001] The invention relates to an image processing method, in particular to a transformation domain neighborhood adaptive image noise reduction method that can be applied to fire detection. Background technique: [0002] With the rapid development of urbanization and the rapid increase of large-space buildings, the fire situation is becoming increasingly severe. Large-space building fires cause huge losses, posing a great threat to the safety of people's lives and properties. Due to the influence of space height and area, traditional fire detection technologies such as point or line smoke and temperature detectors are difficult to function effectively. The image-based fire detection technology uses image processing technology for early fire detection, which has very significant advantages and has become a research hotspot in fire detection and identification. However, the accuracy of its detection and recognition has a very close relationship with the qua...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 刘盛鹏李建中徐琰张振伟
Owner SHANGHAI FIRE RES INST OF THE MIN OF PUBLIC SECURITY
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