Detection method of flame

Abstract

The invention discloses a detection method of flame. Since the flame has the characteristics of certain continuousness, and the like at a position, the detection method can be used for acquiring images. Pixel points having the flame color characteristics in the images can be detected by using color information. The flame area can be detected by using a time domain filter detection motion area andthe like. The detection method can be used for fire monitoring at long distance in a wide range.

Description

technical field

[0001] The invention relates to a flame detection method. Background technique

[0002] Among various disasters, fire is one of the main natural disasters that most frequently and commonly threaten public safety and social development. Timely and accurate fire detection and alarm can effectively reduce or eliminate this threat. Traditional fire detection is generally based on sensors (such as infrared sensors, ultraviolet sensors, etc.). However, these sensors are susceptible to various disturbances, gradually deteriorating in sensitivity and decreasing in reliability. At the same time, the monitoring range of a single sensor is very limited, and it has relatively large limitations for long-distance monitoring of large scenes. However, the video monitoring device can overcome the above disadvantages, and the cost is low. With the rapid development of digital image technology and video processing technology, the fire detection technology based on computer ...

Examples

Embodiment Construction

[0035] Attached below figure 1 The implementation case of the present invention is described in detail:

[0036] This embodiment carries out fire detection to a video sequence in AVI format, its image frame size is 640x480, the frame rate is 24 frames per second, and the length of the entire video sequence is 1421 frames, such as figure 1 So, include the following steps:

[0037] The first step is to transform the image frame from the RGB color space to the YCrCb color space, and then calculate the average value of the Y, Cr, and Cb components of the entire image. If the Y, Cr, and Cb components of the pixel meet the conditions, it is judged as a flame point.

[0038] The described calculating formula that image frame is converted to YCrCb color space from RGB color space is:

[0039] Y=0.299×R+0.587×G+0.114×B

[0040] Cr=(R-Y)×0.713+128

[0041] Cb=(B-Y)×0.564+128

[0042] The calculation formula of described calculation Y, Cr, Cb mean value is as follows:

[0043] ...

technical field

[0001] The invention relates to a flame detection method. Background technique

[0002] Among various disasters, fire is one of the main natural disasters that most frequently and commonly threaten public safety and social development. Timely and accurate fire detection and alarm can effectively reduce or eliminate this threat. Traditional fire detection is generally based on sensors (such as infrared sensors, ultraviolet sensors, etc.). However, these sensors are susceptible to various disturbances, gradually deteriorating in sensitivity and decreasing in reliability. At the same time, the monitoring range of a single sensor is very limited, and it has relatively large limitations for long-distance monitoring of large scenes. However, the video monitoring device can overcome the above disadvantages, and the cost is low. With the rapid development of digital image technology and video processing technology, the fire detection technology based on computer ...

Examples

Embodiment Construction

[0035] Attached below figure 1 The implementation case of the present invention is described in detail:

[0036] This embodiment carries out fire detection to a video sequence in AVI format, its image frame size is 640x480, the frame rate is 24 frames per second, and the length of the entire video sequence is 1421 frames, such as figure 1 So, include the following steps:

[0037] The first step is to transform the image frame from the RGB color space to the YCrCb color space, and then calculate the average value of the Y, Cr, and Cb components of the entire image. If the Y, Cr, and Cb components of the pixel meet the conditions, it is judged as a flame point.

[0038] The described calculating formula that image frame is converted to YCrCb color space from RGB color space is:

[0039] Y=0.299×R+0.587×G+0.114×B

[0040] Cr=(R-Y)×0.713+128

[0041] Cb=(B-Y)×0.564+128

[0042] The calculation formula of described calculation Y, Cr, Cb mean value is as follows:

[0043] ...

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