Improvement of microassemblies ultrasonic images using adapted signal processing techniques

L. Béchou, Y. Ousten, B. Trégon, Y. Danto, M. Salagoity
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引用次数: 0

Abstract

This paper deals with two techniques for ultrasonic images understanding and interpretation with image and digital signal processing first with a specific test sample. A simulation allows us to evaluate the effective Point Spread Function (PSF) of a reflection scanning ultrasonic system working in the 10-100 MHz frequency bandwidth and successfully implemented. From this PSF, we can deduce lateral resolution both in the coupling medium and in a material under test. We present the great interest of the PSF knowledge for image deconvolution on a Lucy-Richardson algorithm applied on this test sample. With this method, lateral resolution is strongly improved and real dimensions of an object can be reached. The second technique concerns ultrasonic images with different nature of defects. A better understanding of these images can be realised by means of time of flight detection with Short Time Fourier Transform (STFT) analysis to determine defect depth with strong accuracy.
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应用适应信号处理技术改进微装配超声图像
本文首先结合具体的测试样品,探讨了超声图像理解与解释的两种技术,即图像处理和数字信号处理。通过仿真,我们评估了在10-100 MHz频率带宽下工作的反射扫描超声系统的有效点扩展函数(PSF),并成功实现了该系统。从这个PSF中,我们可以推断出耦合介质和被测材料中的横向分辨率。我们展示了PSF知识对应用于该测试样本的Lucy-Richardson算法的图像反卷积的极大兴趣。该方法大大提高了横向分辨率,可以达到物体的真实尺寸。第二种技术涉及不同性质缺陷的超声图像。利用短时傅立叶变换(STFT)分析的飞行时间检测可以更好地理解这些图像,从而确定精度较高的缺陷深度。
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