Infrared small target detection method based on template filter and false alarm suppression in cloud background
A small target detection and template technology, applied in image analysis, image enhancement, instruments, etc., can solve problems such as high false alarm rate, poor robustness, and inability to apply video sequence processing, achieving low false alarm rate and low complexity. , The effect of reducing the detection false alarm rate
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[0019] combine figure 1 , the infrared small target detection method based on template filtering and false alarm suppression under the cloud background of the present invention, for a single frame image, the spatial domain operation of template filtering is used, first, the image is subjected to maximum median filtering to remove significant noise to complete image preprocessing, and secondly Use Robinson template filtering to suppress the background and highlight the target, and then divide the original image into cloud areas. In the cloud area, the result after Robinson filtering is binarized with a low threshold, and the non-cloud area is processed with a high threshold. Finally, Using the principle of "non-maximum value suppression in the neighborhood", the binarized result further eliminates multiple "pseudo-target points" generated by the same target, so as to complete the "coarse detection"; Time domain operation processing is adopted, that is, the track correlation is ...
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