An area energy photon counting image fusion algorithm based on an adaptive threshold value

An image fusion algorithm and self-adaptive threshold technology, applied in the field of image fusion, can solve the problems of unclear outline, unclear details and serious noise of the fused image.

Pending Publication Date: 2019-05-28
SHANDONG UNIV OF TECH
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is: to overcome the deficiencies of the prior art, and to provide a method that solves the problem of unclear contours of the fused image obtained by the regional energy fus

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  • An area energy photon counting image fusion algorithm based on an adaptive threshold value
  • An area energy photon counting image fusion algorithm based on an adaptive threshold value
  • An area energy photon counting image fusion algorithm based on an adaptive threshold value

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Embodiment Construction

[0068] Figure 1~2 It is the best embodiment of the present invention, below in conjunction with attached Figure 1~2 The present invention will be further described.

[0069] Such as Figure 1~2 As shown, a regional energy photon counting image fusion algorithm based on adaptive threshold includes the following steps:

[0070] Step 1001, performing redundant wavelet transform on the source image;

[0071] Set the illuminance value to 6.31×10 -5 The photon counting image obtained under lx is recorded as the source image A, and the illuminance value is 4.02×10 -4 The photon counting image obtained under lx is recorded as the source image B, and the redundant wavelet transform is performed on the photon counting source image to obtain the high and low frequency part of the image, combined with figure 2 , and its specific implementation steps are as follows:

[0072] Step 1001-1, define a convolution kernel as:

[0073]

[0074] Step 1001-2, define c 0 =I 0 , I 0 re...

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Abstract

The invention discloses an area energy photon counting image fusion algorithm based on an adaptive threshold value, and belongs to the technical field of image fusion. The method is characterized by comprising the following steps of step 1001, carrying out redundant wavelet transformation; step 1002, calculating regional energy, neighborhood mean square error, matching degree and self-adaptive threshold value; step 1003, calculating a weighting coefficient and an enhancement factor; step 1004, calculating a matching degree; step 1005, judging a matching degree and a self-adaptive threshold value; step 1006, when the matching degree is smaller than a self-adaptive threshold value, selecting an enhancement value of a pixel point of an area with high energy as a corresponding pixel point value in the fusion image; step 1007, if the matching degree is greater than or equal to a self-adaptive threshold value, adopting a weighted area energy method; and step 1008, obtaining a photon countingfusion image. Through the algorithm, the problems of unclear contour, serious noise, photon counting image information redundancy under extremely weak illumination, unclear details and the like of afusion image obtained through a regional energy fusion method are solved.

Description

technical field [0001] The invention relates to an image fusion algorithm based on an adaptive threshold value for area energy photon counting, which belongs to the technical field of image fusion. Background technique [0002] With the development of low-light night vision technology, the low-light image processing system's demand for image fusion under extremely weak light is also increasing. Image fusion is the process of synthesizing the salient features of multiple source images obtained by mathematical methods. Since multiple source images can complement each other, image fusion can reduce the uncertainty and blur of the fused image, and at the same time improve the quality of the fused image. The accuracy and reliability of the information form a relatively complete description of the target. The purpose of image fusion is to produce a more comprehensible composite image, which will facilitate observation and object recognition. [0003] In recent years, image fusio...

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Application Information

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IPC IPC(8): G06T5/50
Inventor 尹丽菊仲红玉王炫胡浩东马立修王季峥邹国锋韩光宇李英于毅陈尧
Owner SHANDONG UNIV OF TECH
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