Multisensor image fusion, Image processing, Neural networks, Fuzzy set, Wavelet theory.
多传感器图象融合,图象处理,神经网络,模糊理论,小波理论。
参考来源 - 多传感器图象信息融合方法与应用研究With the growth of the wavelet theory, it’s applied widely.
小波变换理论日趋成熟,其应用也越来越广泛。
参考来源 - 基于整数提升算法的二维离散小波变换的VLSI设计Wavelet theory is discussed in the clue of discretization and information representation.
对小波理论本文以离散化和信息表示为主线作了讨论。
参考来源 - 小波变换在图像压缩编码中的应用研究·2,447,543篇论文数据,部分数据来源于NoteExpress
Wavelet theory provides various basis functions and multi-resolution methods for finite element method, which will be selected in solving different problems.
小波理论为有限元方法提供了许多不同的基函数和多尺度分析方法,需要根据具体分析问题进行选择。
The directional wavelet theory provides a novel sparse representation method for image processing, and it can capture geometrical image structures more efficiently.
方向性小波理论为图像处理提供了一种新的稀疏表示方法,能够更有效地捕捉图像中的几何结构。
This paper aims to consummate the wavelet theory, combining with its excellent time and frequency feature , present some new algorithms and use to image recognition.
旨在完善小波理论的同时,结合小波的时频域特性设计出新的应用算法,将其用于图像识别。
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