A Comparative Study on Improving the Quality of Total Focusing Reconstructed Images by Filtering Preprocessing
AiTargetingming at the serious problem of defect image artifacts reconstructed by total focus algorithm in ultrasonic nonde-structive testing,a filtering process is proposed to suppress the artifacts by adding total focus algorithm to improve image quality and im-aging resolution. The shortcomings of the total focus algorithm to reconstruct the defect image is first analyzed,and then four filtering functions( R-L,S-L,Cosine and Hamming) are used to process the full matrix data collected by the ultrasonic reflection experimental system,respectively. Finally,the original signal and the echo signal processed by the four filtering functions are used to reconstruct the defect image through the full focus algorithm. The imaging results show that the signal-to-noise ratios of the reconstructed defect images after four kinds of filtering are better than that of the original signal reconstruction image. Among the four filtering functions,R-L and S-L are the best two to improve the image reconstruction quality. The signal-to-noise ratios of the reconstructed image of test sample Ⅰ based on R-L and S-L filtering are 8.99 dB and 8.96 dB higher than that of the unfiltered image,respectively,and those of sample Ⅱ are 9.56 dB and 9.55 dB higher.
万方数据
维普
