Infrared weak and small target detection method based on multi-feature fusion

Abstract

The invention provides an infrared weak and small target detection method based on multi-feature fusion, and the method comprises the steps: firstly, enhancing a real target by the gray contrast of the target and a neighborhood background based on the large local gray value of an infrared weak and small target, and suppressing a part of complex background; secondly, detecting the target by calculating the distance between the edge pixel point and the center pixel point of the infrared weak and small target and the covariance of the gray difference by utilizing the characteristic that the gray information of the infrared weak and small target conforms to the two-dimensional Gaussian distribution, and obtaining a first explicit image; thirdly, by means of the characteristic that the similarity between an infrared weak and small target and a neighborhood is low, detecting the target by calculating a similarity factor to acquire a second explicit graph; and finally,performing point multiplication on the first explicit image and the second explicit image, acquiring a final explicit image by fusing various characteristics of the infrared weak and small target, and calculating a simple threshold value for the final explicit image for segmentation to obtain a final detection result. Complex clutters in the infrared image are effectively suppressed, and the weak and small target detection precision is improved.

Description

technical field [0001] The invention relates to the field of infrared image target detection, in particular to a method for detecting infrared weak and small targets based on multi-feature fusion. Background technique [0002] Infrared target detection is one of the core technologies of long-range early warning, precision guidance and other systems, among which infrared dim and small target detection is a classic problem. The main difficulties are: 1) The imaging distance is very far, and the target not only lacks characteristic information in the image but is easily confused with noise; 2) The edge of high-intensity clutter is easily misdetected as the target, which increases the number of false alarms; 3) Both Weak and small objects are often submerged in complex backgrounds, resulting in serious missed detections. Therefore, infrared weak and small target detection in complex background has always been a very challenging task. [0003] At present, there are few research...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the common problems of low detection rate and high false alarm rate of weak and small infrared targets in complex backgrounds, the present invention proposes a detection method for weak and small infrared targets based on multi-feature fusion, which is used for the detection of weak and small infrared targets in infrared images under complex backgrounds, effectively improving Detection accuracy and robustness

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