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.
CN109816618APending Publication Date: 2019-05-28SHANDONG UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
SHANDONG UNIV OF TECH
Publication Date
2019-05-28

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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.
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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...

Claims

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