Infrared weak and small target detection method based on space-time joint local contrast
A technology of local contrast, weak and small targets, applied in computer parts, image enhancement, image analysis, etc., can solve the problems of low robustness of detection scenes, difficult to take into account detection accuracy and detection speed, etc., to suppress background clutter , suppress cluttered background, enhance the effect of target contrast
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Embodiment 1
[0072] The existing methods have the problems of low scene robustness and difficulty in balancing detection accuracy and detection speed, so that the algorithm can achieve high detection rate and low false alarm rate in different complex scenes; therefore, this application A method of combining spatial information and temporal information is proposed to overcome the above problems, the details are as follows:
[0073] A method for detecting infrared dim and small targets based on joint space-time local contrast, comprising the following steps:
[0074] Step 1: Establish a sliding window of 3×3 size in space, traverse the kth frame image of the original sequence image, and obtain the spatial local contrast (Spatial Local Contrast, SLC) response map of the kth frame image through spatial filtering;
[0075] Usually, a window of 3×3 is selected. Other sizes 5×5 and 7×7 are of little significance for research, because the outermost pixels are far from the center. Sizes such as 2×2...
Embodiment 2
[0080] Based on Embodiment 1, how to refine the local contrast filtering in the space domain, the local contrast filtering in the time domain and the fusion method of the two are considered in this method. The details are as follows:
[0081] As shown in the flowchart, step 1 includes the following steps:
[0082] Step 1.1: Construct a sliding window of size 3×3;
[0083] Step 1.2: The mean of the central block T is expressed as
[0084]
[0085] Among them, s*s represents the size of the central block T, the size of the sliding window is three times the size of the central block, (m, n) represents the coordinates of the central pixel of the central block T, (i, j) represents the pixel in the central block T The coordinates, k represents the image of the kth frame;
[0086] For the size of the sliding window to be three times the size of the central block, the size of the central block T can be adjusted according to the size of the target. Then the size of the entire sli...
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