使用极小波的图像配准

R. Ewing, D. Quinn, Y. Zheng, M. Fickus, M. Oxley, J. Morrison, G. Seetharaman, R. Matungka, V. Sandor
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引用次数: 0

摘要

处理21世纪应用中产生的大量数据,如多模态信号(如视频、图像、高光谱)的多层次、跨域表示,以实现高效传输、存储、操作、多模态数据挖掘和机器学习;信号识别(友好、威胁等)、流媒体视频和三维图像处理,需要新的信息分析和数据存储方法。由于在21世纪的应用中产生了大量带噪声的三维数据,并且使用三维存储器来存储这些大量数据,因此需要三维小波的功率来进行验证性图像处理形状检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Registration using Polar Wavelets
To deal with the large amounts of data generated in 21st century applications such as multi-level, cross-domain representation of multi-modal signals (e.g. video, images, hyperspectral) for efficient transmission, storage, manipulation, multi-modal data mining, and machine learning; identification of signals (friendly, threat, etc.), streaming video, and 3-D image processing, new methods of information analysis and data storage are needed. With the large amount of noisy 3-D data generated in these 21st century applications and the use of 3-D memory to store this large amount of data, the power of 3-D wavelets for confirmatory image processing shape detection is needed.
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