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Method for detecting forest fire fog based on colorful CCD image analysis

An image analysis and detection method technology, applied in the field of analysis and detection, can solve the problems of low fire detection quality and low alarm accuracy, and achieve the effects of avoiding false detection, improving detection rate, missing detection rate and reducing false detection rate

Inactive Publication Date: 2007-10-24
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0004] In order to overcome the deficiencies of low fire detection quality and low alarm accuracy in the prior art, the present invention provides a forest fire image detection method based on ordinary color CCD images, which can improve the detection quality of forest fire smoke and realize early forest fire detection. early warning

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  • Method for detecting forest fire fog based on colorful CCD image analysis
  • Method for detecting forest fire fog based on colorful CCD image analysis
  • Method for detecting forest fire fog based on colorful CCD image analysis

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Embodiment Construction

[0037] The method of the present invention will be further specifically described below in conjunction with the examples.

[0038] Using general-purpose microcomputers, such as Intel Pentium 4 series microcomputers, plus image acquisition cards, such as Hikvision DS-4000HC, color CCD cameras can use MINTRONMTV-53K series cameras. A small forest fire image detection system is developed in the programming environment of Visual C++6.0 and DirectX 8SDK. The program running platform is IntelP43.0G CPU+768M DDR 400 memory.

[0039] The work flow chart of forest fire situation smog detection method of the present invention as shown in Figure 1, each part concrete implementation details are as follows:

[0040] 1. The color CCD camera captures the image information of the monitoring scene.

[0041] The image information of the monitoring scene is obtained by using a color CCD camera, and the digital image is read by a general-purpose microcomputer through an image acquisition card, a...

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Abstract

The invention discloses a forest fire smoke detect method based on colorful CCD image analysis, which comprises that based on some front frames of obtained image, finding the horizon line in the image to represent the spatial precision information in the image, based on Mallat method, analyzing the high-frequency information loss character, using fusion algorism to fuse the high-frequency information loss character, smoke low-frequency motion character, and color character, to be accumulated on time axis. Based on the position information and accumulated result of horizon line, the invention extracts smoke area under spatial precision compensation, to mark the smoke source area and smoke area. The invention can improve the reliability of smoke image detection, and reduce the undetected rate and the error rate of smoke detection, with significant benefits for forest fire automatic detection.

Description

technical field [0001] The invention relates to a forest fire smoke detection method based on image analysis, which is an analysis and detection method in the field of fire detection. Background technique [0002] According to the law of fire occurrence, the appearance of fire smoke is earlier than that of open flame, so smoke detection technology is widely used in early warning of fire. Forests are the hardest hit areas of fires, and forest fires occur frequently, causing huge losses to the country and the people. How to effectively carry out early warning of forest fires has become a very important issue in reducing forest fire losses. In recent years, video systems for monitoring forest scenes have begun to be used for forest fire prevention. Making these video systems intelligent and automatically monitoring whether there is a fire in the forest for early warning will be a great way to reduce forest fire losses and forest maintenance. It is an important and effective w...

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Application Information

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IPC IPC(8): G01N21/53G01N21/84G08B17/10G01V8/00G06T7/00
Inventor 潘泉杨猛赵春晖张绍武
Owner NORTHWESTERN POLYTECHNICAL UNIV
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