Infrared weak and small target segmentation method and device and medium
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A weak and small target, infrared technology, applied in the field of image processing, can solve the problem of few segmentation methods of infrared weak and small targets, and achieve the effect of meeting the real-time requirements of the project, fast calculation speed, and ensuring effective segmentation
Active Publication Date: 2022-05-10
CALCULATION AERODYNAMICS INST CHINA AERODYNAMICS RES & DEV CENT
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[0003] At present, most of the infrared target segmentation methods are still developed from the visible light image
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[0053] Embodiment 1: a kind of infrared weak and small target segmentation method, comprising the steps:
[0054] S1, calculate the statistical histogram of the infrared image, perform histogram transformation processing, filter out the extreme noise points in the image, and obtain a preprocessed image;
[0055] S2, calculate the local background mean value of the infrared image through pseudo-two-dimensional CFAR processing to reduce the interference of the target and noise on the background mean value;
[0056] S3, subtracting the local background mean value of the preprocessed infrared image in the row and column directions to obtain the local energy value of each pixel point, obtaining the image energy distribution map, and enhancing the signal-to-noise ratio of the target;
[0057] S4, for the image energy distribution map, use the "Hui"-shaped sliding window to obtain the local threshold to complete the adaptive threshold acquisition, which can effectively protect the we...
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[0059] Embodiment 2: On the basis of Embodiment 1, in step S1, the transformation process includes linear stretching.
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[0060] Embodiment 3: On the basis of Embodiment 1, in step S2, the sub-steps are included: firstly perform a horizontal CFAR-like calculation on the image to obtain the row local background mean value, and then perform a vertical CFAR-like calculation to obtain a column The local background mean, the formula used is:
[0061]
[0062] in, for the local background mean of the point, X p / Y p for row / column direction with inside the slider centered on the point N The gray mean of the effective pixels, is the first in the horizontal / vertical frame The equivalent gray value of a valid pixel point.
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Abstract
The invention discloses an infrared weak and small target segmentation method and device and a medium, and belongs to the field of image processing, and the method comprises the steps: S1, calculating an infrared image statistical histogram, carrying out histogram transformation processing, filtering extreme noise points in an image, and obtaining a preprocessed image; s2, calculating a local background mean value of the infrared image through pseudo two-dimensional CFAR processing; s3, subtracting a local background mean value from the preprocessed infrared image according to two directions of rows and columns to obtain a local energy value of each pixel point, and obtaining an image energy distribution diagram; s4, for the image energy distribution diagram, acquiring a local threshold by using a sliding window to complete adaptive threshold acquisition; and S5, performing target segmentation on the image according to the obtained local threshold to obtain a segmentation result. According to the method, the infrared small and weak target detection probability, reliability and real-time performance can be improved.
Description
technical field [0001] The present invention relates to the field of image processing, and more specifically, to a method, device and medium for segmenting small and weak infrared targets. Background technique [0002] Infrared target detection, as one of the key technologies of the infrared detection system, is a passive passive detection technology with good stealth performance and anti-interference ability, which has been widely used in the field of national defense and military affairs. Target segmentation, as an important part of target detection, strongly affects the infrared target detection effect. Due to the significant attenuation of infrared radiation energy over distance and the low contrast and signal-to-noise ratio of infrared targets, small infrared targets are easily submerged in background clutter and sensor noise. In addition, considering the limitations of application scenarios, the computing resources of the detection system are often limited, and the al...
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IPC IPC(8): G06T7/136G06T5/40
CPCG06T7/136G06T5/40G06T2207/10048
Inventor 赵杨曹东王海波杨阳刘林岩卢德勇
Owner CALCULATION AERODYNAMICS INST CHINA AERODYNAMICS RES & DEV CENT
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