Reconfiguration optimization method of phased-array ultrasonic image based on frequency domain compression perception
A frequency domain compression, ultrasonic image technology, applied in the analysis of solids using sonic/ultrasonic/infrasonic waves, material analysis using sonic/ultrasonic/infrasonic waves, and processing response signals of detection, etc., which can solve problems such as large amount of data
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Embodiment 1
[0040] An embodiment of the present invention provides a phased array ultrasonic image reconstruction optimization method based on frequency domain compressed sensing, see figure 1 , the method includes the following steps:
[0041] 101: Build an ultrasonic phased array defect detection experimental system to obtain the echo image reflected by the defect position of the test piece for subsequent analysis;
[0042] 102: Select the discrete Fourier basis as the sparse basis for frequency-domain compressive sensing of ultrasonic phased array defect images, construct a random Gaussian matrix as the sensing matrix for frequency-domain compressive sensing of ultrasonic phased array defect images, and select the orthogonal matching pursuit algorithm Ultrasonic phased array defect frequency domain images are reconstructed; the compression rate is defined as the ratio of the compressed signal length to the original signal length, and the peak signal-to-noise ratio is selected to quanti...
Embodiment 2
[0050] Combine below Figure 1-Figure 6 , specific examples, and calculation formulas further introduce the scheme in Embodiment 1, see the following description for details:
[0051] 201: Build an ultrasonic phased array defect detection experimental system, and obtain the echo image reflected by the defect position of the test piece 5 for subsequent analysis;
[0052] The detailed operation of this step is:
[0053] 1) Build an ultrasonic phased array defect detection system, which includes: host computer 1, ultrasonic phased array detector 2, ultrasonic phased array transducer 3, resin wedge 4, test piece 5, the detection system is as follows: figure 2 As shown, the defect settings are as image 3shown. Among them, the material of the tested part 5 is aluminum, which contains artificially processed through-hole defects with a diameter of 1mm, and the horizontal and vertical distances between the defects are both 10mm.
[0054] 2) The target area is detected by linear s...
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