Segmentation method for infrared thermal imaging image of forest fire

A technology of infrared thermal imaging and image segmentation, which is applied in the field of image processing, can solve problems such as large amount of calculation and difficult to meet real-time requirements, and achieve the effect of improving accuracy and speed

Inactive Publication Date: 2015-11-25
HOHAI UNIV CHANGZHOU
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Problems solved by technology

Some literature proposes to use the maximum entropy to segment the image with dual thresholds, and use the genetic algorithm to search for the best dual thres

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  • Segmentation method for infrared thermal imaging image of forest fire
  • Segmentation method for infrared thermal imaging image of forest fire
  • Segmentation method for infrared thermal imaging image of forest fire

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[0022] Relevant detailed content and technology of the present invention, hereby cooperate drawing description as follows:

[0023] The implementation schematic diagram of the present invention is as figure 1 As shown, the specific steps are as follows:

[0024] (1) Acquiring infrared thermal imaging images;

[0025] (2) The threshold obtained by thresholding the infrared thermal imaging image under the R channel by the maximum between-class variance method is used as the minimum threshold t min ;

[0026] (3) The image under the G channel is segmented by the Otsu criterion, and the segmentation threshold is recorded as t a , the binary image obtained by segmentation is marked as g, and then find the position of the area with a pixel value of 1 in the binary image in the R channel grayscale image, and calculate the minimum value of the pixels in the position area under the R channel as the maximum threshold t max ;

[0027] (4) Set the initial iteration number Y to 1, an...

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Abstract

The invention discloses a segmentation method for an infrared thermal imaging image of forest fire. A method for searching two optimal thresholds through a genetic algorithm is adopted when a heating area and an abnormal heating area in the infrared thermal imaging image are respectively segmented in the prior art, so that the calculated amount is larger and the operating speed is rather low. According to the method, a minimum threshold and a maximum threshold are determined by utilizing the characteristics of the infrared thermal imaging image under a channel R and a channel G based on segmentation of the image through combining the genetic algorithm and a maximum entropy criterion, so that the range for searching the optimal single threshold through the genetic algorithm is shortened, the larger calculated amount which is generated when searching the optimal single threshold through the genetic algorithm is reduced, the speed for threshold segmentation of a target image is improved and the precision for threshold segmentation of the abnormal heating area is improved. The method can be widely applied to the field of security warning of the forest fire.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a forest fire infrared thermal imaging image segmentation method. Background technique [0002] Image segmentation is a basic problem in the field of image processing. Its purpose is to separate the target from the background and provide a basis for subsequent target feature extraction, recognition and tracking. [0003] Among the many processing methods of image segmentation, the threshold segmentation method is widely used in the occasions that pay attention to the operation efficiency because of its simple and effective characteristics. It regards the image as a combination of two types of regions (target and background) with different gray-level characteristics, and distinguishes each pixel in the image into target and background according to the selected threshold to generate a binary image. The key technology of threshold segmentation lies in the selection of the op...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T2207/10048
Inventor 许金鑫朱文青卞乐周亮基马云鹏李庆武
Owner HOHAI UNIV CHANGZHOU
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