RGB representation of two-dimensional multi-spectral acoustic data for object surface profile imaging
RGB representation of two-dimensional multi-spectral acoustic data for object surface profile imaging
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DOI：
10.1088/0957-0233/24/10/105401
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发表时间：
2013-10
影响因子：
2.4
通讯作者：
Xinhua Guo;Y. Wada;Y. Mizuno;Kentaro Nakamura
中科院分区：
文献类型：
--
作者：
Xinhua Guo;Y. Wada;Y. Mizuno;Kentaro Nakamura
传统上，声成像是使用单一频率或有限数量的频率来执行的。然而，物体表面轮廓、隐藏在表面下的结构和材料特性的丰富信息可能表现出频率依赖性。在这项研究中，在较宽的频率范围内以精细的频率步长对物体表面进行声学成像，并提出了一种显示所获取的多频谱声学数据的方法。具有不同轮廓的复杂刚性表面被扫描频率范围为 1 至 20 kHz、步长为 30 Hz 的声波照亮。使用扫描麦克风对反射的声音进行二维记录，并使用全息重建方法进行处理。获得的每个频率的声压的二维分布被定义为“多频谱声学成像数据”。接下来，多光谱声学数据被转换为单个基于 RGB 的图片，以便于理解表面特征。使用 RGB 滤波器技术将声音频率分配为红色、绿色和蓝色。凹槽的深度通过 RGB 图像中的颜色来识别。
Conventionally, acoustic imaging has been performed using a single frequency or a limited number of frequencies. However, the rich information on surface profiles, structures hidden under surfaces and material properties of objects may exhibit frequency dependence. In this study, acoustic imaging on object surface was conducted over a wide frequency range with a fine frequency step, and a method for displaying the acquired multi-spectral acoustic data was proposed. A complicated rigid surface with different profiles was illuminated by sound waves sweeping over the frequency range from 1 to 20 kHz with a 30 Hz step. The reflected sound was two-dimensionally recorded using a scanning microphone, and processed using a holographic reconstruction method. The two-dimensional distributions of obtained sound pressure at each frequency were defined as ‘multi-spectral acoustic imaging data’. Next, the multi-spectral acoustic data were transformed into a single RGB-based picture for easy understanding of the surface characteristics. The acoustic frequencies were allocated to red, green and blue using the RGB filter technique. The depths of the grooves were identified by their colours in the RGB image.