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Small target infrared image processing method based on weighing local image entropy

An infrared image processing and local image technology, applied in image data processing, image enhancement, instruments, etc., to suppress background and noise, improve signal-to-noise ratio, and reduce the probability of false alarms

Active Publication Date: 2015-01-07
WUHAN ZHONGKE IND RES INST OF MEDICAL SCI CO LTD
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Problems solved by technology

[0004] Although many achievements have been made in the field of small target infrared image processing, and many algorithms have been well realized in engineering applications, the target detection system engineering is still facing challenges for small target infrared images with low signal-to-noise ratio in complex backgrounds. great difficulty and complexity

Method used

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  • Small target infrared image processing method based on weighing local image entropy
  • Small target infrared image processing method based on weighing local image entropy
  • Small target infrared image processing method based on weighing local image entropy

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Embodiment 1

[0037] figure 1 This method mainly includes the following steps: image input, multi-scale gray difference operator solution, local image entropy operator solution, dot product operation, adaptive threshold solution, and binarization.

[0038] Specifically:

[0039] Step 1, input an infrared image, and solve the multi-scale gray difference D of the image:

[0040] Infrared images of small targets generally consist of three parts: target, background and noise. The imaging size of a small target is generally less than 80 pixels, that is, less than 0.12% of 256×256, so the target has no characteristics such as size, shape and texture, but it is different from the background and noise in terms of gray value, frequency and correlation. . The core idea of ​​the multi-scale grayscale difference operator (D) is to use the grayscale difference between the target area and the target neighborhood in the small target infrared image to suppress the background and enhance the target throu...

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Abstract

In order to effectively process small target infrared images under the low signal to noise ratio complex background, the invention discloses a small target infrared image processing method based on the weighing local image entropy and relates to the technical field of digital image processing. Inherent features of the small target infrared images are utilized, a multi-scale gray difference operator and a local image entropy operator are provided, the weighing local image entropy is obtained through the dot product operation, so that the infrared image background and the noise are effectively restrained, a target is enhanced, and finally the signal to noise ratio of the images is greatly improved.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to a small target infrared image processing method based on weighted local image entropy. Background technique [0002] Small target infrared image processing technology has been used in civilian fields (such as satellite atmospheric infrared cloud image analysis, infrared medical image pathological analysis, geological analysis, sea surface personnel search and rescue, intrusion detection, forest fire detection) and military fields (such as precision guidance, early warning detection, battlefield Command and reconnaissance, friend-or-foe identification) are widely used, and its target detection step is the focus and difficulty in the field of infrared image processing, and its performance directly determines the effective range of the infrared system and the complexity of the equipment, so the research on this technology has received Many scholars at home and abroa...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/20
Inventor 周欣邓鹤孙献平叶朝辉刘买利
Owner WUHAN ZHONGKE IND RES INST OF MEDICAL SCI CO LTD
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