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Compressed sampling matrix decomposition-based infrared small target detection method

A small target detection and compression sampling technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of low signal-to-noise ratio, lack of shape, and few pixels in the image, and achieve high signal-to-noise ratio gain, suppress background and Effects of noise, reduced data processing and storage

Inactive Publication Date: 2014-06-18
BEIHANG UNIV
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Problems solved by technology

Small infrared targets occupy few pixels, lack texture information such as shape, size, structure, etc., and the image signal-to-noise ratio is low. Accurate detection of small infrared targets has become a difficult problem

Method used

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  • Compressed sampling matrix decomposition-based infrared small target detection method
  • Compressed sampling matrix decomposition-based infrared small target detection method
  • Compressed sampling matrix decomposition-based infrared small target detection method

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Embodiment Construction

[0037] In order to make the purpose, technical solution, and advantages of the present invention clearer. Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0038] figure 1 It is a principle flow chart of the present invention. It mainly includes: image input, image entropy calculation, rank estimation, compression sampling, reconstruction restoration, and binarization.

[0039] Step 1: Input an infrared image, calculate the image entropy, and perform rank estimation according to the pre-obtained functional relationship between entropy and rank

[0040] when p s =0, define p s logp s =0

[0041] Step 2: Perform compression sampling on the column vectorized image

[0042] y=ΦF=Φ(B+T)+e

[0043] Here the sampling rate is 35%, and the measurement matrix adopts Walsh Hadamard transform.

[0044] Step 3: By measuring the vector, solve the following expression to separate the target and the background, a...

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Abstract

A compressed sampling matrix decomposition-based infrared small target detection method in the technical field of image processing comprises the following steps: 1, inputting an infrared small target image, solving the information entropy of the image and performing rank estimation according to the information entropy of the image; 2, performing column vectorization on the image, and performing compressed sampling by using a Walsh Hadamard matrix to obtain a measured value; 3, performing image reconstruction and meanwhile restoring a background and a target; 4, performing binarization processing on the infrared small target image and detecting the infrared small target. By adopting the method, detecting the infrared small target in a compression domain is realized, data processing capacity and storage capacity are reduced by compressed sampling, the separation of the target from the background is realized after reconstruction, both the target and the background are obtained, the obtained target part has very high gain of signal to noise ratio, the background and noise are effectively restrained, and the infrared small target can be detected only by simple binarization processing in subsequent processing.

Description

technical field [0001] The invention relates to a method in the technical field of digital image processing, in particular to an infrared small target detection method based on compressed sampling matrix decomposition. Background technique [0002] Infrared imaging technology has the advantages of passive, day and night work, high penetrating power, etc., and has a wide range of applications. Infrared small target detection is an important application of infrared imaging technology, which is of great significance in military, industry, agriculture, medicine, transportation and other fields. The automatic detection and tracking of infrared small targets is not limited by night conditions, so it has also received widespread attention and research at home and abroad. Small infrared targets occupy fewer pixels, lack texture information such as shape, size, and structure, and have a low image signal-to-noise ratio. Accurate detection of small infrared targets has become a diffic...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 李丽李辉简伟健甄红欣
Owner BEIHANG UNIV
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