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Small target enhancing detection method based on secondary image fusion

A detection method and secondary image technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of not improving the detection probability of weak and small targets, and achieve the goal of improving the probability of target detection, suppressing the background, and enhancing the detection probability of weak and small targets. Effect

Active Publication Date: 2017-05-03
HARBIN ENG UNIV
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Problems solved by technology

Although these two methods both apply image fusion algorithms, they both ignore the characteristics of infrared weak and small targets that are difficult to detect, and do not improve the detection probability of weak and small targets through image fusion.

Method used

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  • Small target enhancing detection method based on secondary image fusion
  • Small target enhancing detection method based on secondary image fusion
  • Small target enhancing detection method based on secondary image fusion

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Embodiment Construction

[0041] The present invention will be further described below with examples in conjunction with the accompanying drawings.

[0042] combine figure 1 , figure 2 , the present invention realizes steps as follows:

[0043] Step 1: Read in 8 consecutive frames of image sequences, and divide them into two groups on average, with four frames in each group;

[0044] Step 2: Use the weighted average fusion algorithm to fuse the grouped images respectively:

[0045] (1.1) The weighted average fusion method is used for the two groups of images, without any transformation or decomposition of the original images participating in the fusion, but directly performs weighted average processing on the pixels to synthesize an image. Eight consecutive frames of the original image sequence are noisy images:

[0046] A i (n 1 ,n 2 ) = f(n 1 ,n 2 )+η i (n 1 ,n 2 ) (1)

[0047] i=1, 2...8; n 1 and n 2 Represents the row number and column number, f(n 1 ,n 2 ) represents image informa...

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Abstract

The invention provides a small target enhancing detection method based on secondary image fusion. The method comprises the following steps of: dividing eight continuous frames of infrared image sequences into two groups, wherein the first four frames belong to a group A, and the last four frames belong to a group B; carrying out fusion on the images of the group A and the group B by a weighted average fusion algorithm to obtain two primary-fusion images; independently carrying out wavelet decomposition on the two primary-fusion images to obtain the high-frequency part and the low-frequency part of each image; adopting different fusion criterions to carry out respective fusion processing on the high-frequency part and the low-frequency part in the step 3; and carrying out wavelet reconstruction on the fused high-frequency part and low-frequency part to obtain a secondary-fusion image. By use of the method, a secondary image fusion algorithm is introduced into the field of infrared dim target detection, the target in a continuous frame is regarded as a stationary state, the primary fusion is firstly carried out, stochastic noise in the image is inhibited, a fusion result is subjected to multi-scale wavelet fusion, a dim target is enhanced while background is inhibited, and a target detection probability is improved.

Description

technical field [0001] The invention relates to an infrared target detection technology, in particular to a method for enhancing small and weak infrared targets. Background technique [0002] At present, the infrared early warning system has become a key component of information countermeasures in modern warfare. Because the target is far away from the infrared early warning system, the point target is the main way of existence of the infrared target, which has the characteristics of no characteristic information, no geometric shape, no structure, etc., which seriously affects the detection and recognition of the infrared early warning system. The current research on infrared targets mainly has two aspects: a. Single-frame detection based on background suppression. b Multi-frame detection based on pipeline filtering. It can be seen that the research on weak and small target enhancement algorithms in the field of infrared target detection is still limited, especially the re...

Claims

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Application Information

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IPC IPC(8): G06T5/50G06T7/13
CPCG06T5/50G06T2207/10016G06T2207/10048G06T2207/20021G06T2207/20064
Inventor 国强孙学超阮国庆王亚妮
Owner HARBIN ENG UNIV
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