Time compounding method and device based on ultrasonic sequence similarity
A technology of sequence similarity and composite devices, which is applied in image data processing, instrumentation, informatics, etc., can solve the problems of not making full use of the signal-to-noise ratio of frame-related images and reducing the value of frame-related technologies, so as to avoid edge blur or even smearing , maintain image edge features, smooth speckle noise effect
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Embodiment 1
[0047]It should be noted that, in this embodiment, a temporal composite device based on the similarity of ultrasound sequences is implemented by an ultrasound system.
[0048] This embodiment provides a time composite device based on the similarity of ultrasonic sequences, such as figure 1 shown, including:
[0049] A signal preprocessing unit 11, configured to perform low-pass filtering and edge enhancement processing on the two-dimensional signal;
[0050] A signal segmentation unit 12, configured to divide the processed two-dimensional signal into several rectangular neighborhoods of the same size;
[0051] A classification unit 13, configured to divide the divided two-dimensional signal neighborhoods into edge tissue, uniform tissue, and noise;
[0052] The first calculation unit 14 is used to calculate the similarity between the two-dimensional signal neighborhood of the current frame and the two-dimensional signal neighborhood corresponding to the previous frame;
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Embodiment 2
[0119] It should be noted that, in this embodiment, a temporal composite device based on the similarity of ultrasound sequences is implemented by an ultrasound system.
[0120] A time compounding method based on the similarity of ultrasonic sequences provided by this embodiment, such as figure 2 shown, including:
[0121] S11. Perform low-pass filtering and edge enhancement processing on the two-dimensional signal;
[0122] S12. Divide the processed two-dimensional signal into several rectangular neighborhoods of the same size;
[0123] S13. Divide the divided two-dimensional signal neighborhoods into edge tissue, uniform tissue, and noise;
[0124] S14. Calculate the similarity between the two-dimensional signal neighborhood of the current frame and the two-dimensional signal neighborhood corresponding to the previous frame;
[0125] S15. Calculate the time composite coefficient according to the obtained similarity;
[0126] S16. Time-composite the two-dimensional signal...
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