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ARTIFACTS REMOVING IN ULTRASONIC IMAGES BY FUSION PROCESSES

机译:通过融合过程消除超声图像中的伪像

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摘要

Allmost airborne ultrasonic images used in robotics have artefacts and distorstions, when comparing real objects with those presented in ultrasonic images. The differences between reral and reference images have various causes, as assymetries in directivity of ultrasonic transducers, reflections on the explored environment, non- linearities of the processing blocks. Previous works on the problem, showed that such distortions could be removed or attenutated by classical or adaptive filtering of ultrrasonic images. This paper presents the results artefacts removing made by image fusion approach and wavelet transform. Results are accurate and at the same level of quality, comparing with other explored methods, i.e. based on filtering.
机译:当将真实物体与超声图像中呈现的物体进行比较时,机器人技术中使用的所有机载超声图像都会产生伪影和失真。反射图像和参考图像之间的差异有多种原因,例如超声换能器的方向性不对称,在探索环境中的反射,处理模块的非线性。先前对该问题的研究表明,可以通过对超声图像进行经典或自适应滤波来消除或消除这种失真。本文介绍了通过图像融合方法和小波变换去除伪影的结果。与其他探索的方法(即基于过滤的方法)相比,结果是准确且质量相同的。

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