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基于小波变换分割图像

于 2021-03-18 发布
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下载积分: 1 下载次数: 15

代码说明:

说明:  使用小波变换技术实现图像分割,利用matlab编程实现(Using wavelet transform technology to achieve image segmentation, matlab programming)

文件列表:

小波分割图像, 0 , 2009-12-20
小波分割图像\work, 0 , 2018-05-10
小波分割图像\work\circle.png, 5279 , 2005-12-01
小波分割图像\work\func_DWT.asv, 1865 , 2005-01-10
小波分割图像\work\func_DWT.m, 1171 , 2005-01-11
小波分割图像\work\func_Main.asv, 2236 , 2004-11-04
小波分割图像\work\func_Main2.m, 2399 , 2006-05-06
小波分割图像\work\func_Main3.asv, 2627 , 2004-11-07
小波分割图像\work\func_Main3.m, 2819 , 2006-05-06
小波分割图像\work\func_Main4.m, 3104 , 2006-05-06
小波分割图像\work\func_Mywavedec2.asv, 592 , 2004-10-19
小波分割图像\work\func_Mywavedec2.m, 592 , 2004-10-19
小波分割图像\work\na_128.bmp, 17462 , 2005-12-11
小波分割图像\work\new2.bmp, 66190 , 2004-04-06
小波分割图像\work\new2_1.bmp, 17462 , 2006-05-06
小波分割图像\work\new3.bmp, 66558 , 2004-03-18
小波分割图像\work\new4.bmp, 66546 , 2004-03-18
小波分割图像\work\new4_128.bmp, 49206 , 2005-07-28
小波分割图像\work\new4_256.bmp, 196662 , 2005-08-08

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  • matlab程序
    小波变换(wavelet transform,WT)是一种新的变换分析方法,它继承和发展了短时傅立叶变换局部化的思想,同时又克服了窗口大小不随频率变化等缺点,能够提供一个随频率改变的"时间-频率"窗口,是进行信号时频分析和处理的理想工具。它的主要特点是通过变换能够充分突出问题某些方面的特征,能对时间(空间)频率的局部化分析,通过伸缩平移运算对信号(函数)逐步进行多尺度细化,最终达到高频处时间细分,低频处频率细分,能自动适应时频信号分析的要求,从而可聚焦到信号的任意细节,解决了Fourier变换的困难问题,成为继Fourier变换以来在科学方法上的重大突破。(Wavelet transform (WT) is a new transform analysis method. It inherits and develops the idea of localization of short-time Fourier transform and overcomes the shortcomings that window size does not vary with frequency. It can provide a frequency-dependent The Time-Frequency window is ideal for time-frequency analysis and processing of signals. Its main feature is that by transforming some features that can fully highlight some aspects of the problem, the localization of the time (space) frequency can be analyzed, and the signal (function) can be gradually and multi-scale refined by the scaling operation, finally reaching the high frequency Time subdivision, frequency subdivision at low frequencies, can automatically adapt to the requirements of time-frequency signal analysis, which can focus on any details of the signal to solve the difficulties of Fourier transform has become a major breakthrough in the scientific method since Fourier transform.)
    2018-03-05 14:32:13下载
    积分:1
  • Wavelet_OMP
    用小波变换和OMP重构的压缩感知算法来重构lena图像。(CS Algorithm with DWT and OMP。)
    2020-12-23 15:19:07下载
    积分:1
  • Dual-tree-CWT-code
    双树复小波,比小波变换更加优秀的多尺度变换,具有更好地方向选择性。包含去噪应用(Dual tree complex wavelet transform, multiscale better than wavelet transform, has better selectivity. A denoising method include.)
    2021-04-21 14:38:49下载
    积分:1
  • BE-CO-RO-1991
    Fast wavelet transforms and numerical algorithms 1
    2013-12-27 23:53:23下载
    积分:1
  • wavelet-transform
    对含噪声信号进行小波变换;对变换得到的小波系数进行某种处理,以去除其中包含的噪声;对处理后的小波系数进行小波逆变换,得到去噪后的信号(Containing noise signal wavelet transform the wavelet transform coefficients to a treatment to remove the noise contained therein the treated wavelet inverse wavelet transform coefficients to obtain a denoised signal)
    2013-10-17 11:30:13下载
    积分:1
  • SPPP3.0
    数字信号处理的c++库,很好的资源,作者很牛,包括数值计算与常用的信号处理分析,例如FFT、小波变换、功率谱估计等(Digital Signal Processing c++ library, a great resource,including numerical analysis and common signal processing,such as FFT, wavelet transform, power spectrum estimation)
    2021-01-25 11:48:37下载
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  • XIAOBOFENGJIE
    小波分解与重构,该程序可以实现小波变换的分解与重构。(Wavelet decomposition and reconstruction, the program can achieve wavelet transform decomposition and reconstruction.)
    2021-04-18 16:38:52下载
    积分:1
  • slantlet
    图像多尺度分析,小波变换的进一步发展slantlet变换代码,用matlab编写有使用说明(slantlet code)
    2020-12-14 15:09:14下载
    积分:1
  • Wavelet-decomposition-
    说明:  基于小波的图像分解与重构以及各种灰度图像。(Wavelet-based image decomposition and reconstruction, and various gray scale images.)
    2011-04-11 19:04:15下载
    积分:1
  • wavelet-matlab
    说明:  基于小波变换的图像融合源代码,利用的融合规则分别使用简单的模值取大和基于区域能量。(Image fusion based on wavelet transform source code, the use of fusion rule modulus were obtained using a simple large and region-based energy.)
    2021-05-09 01:38:35下载
    积分:1
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