搜索资源列表
Xiaoboedge
- 基于多尺度的小波变换边缘提取，结果将会展现在不同参数下的特征提取效果。-Wavelet transform based on multi-scale edge detection, the results will be displayed in different parameters of the feature extraction results.
wave_transform
- 小波变换源代码。实现指定小波基的多级小波分解和重构-Transform source code. To achieve the specified multi-level wavelet decomposition and reconstruction
Many-watermarking-embedding
- 提出了一种鲁棒的多水印嵌入与检测算法,该算法基于小波域,且提取水印时不需要原始图像,保护了原始图像的安 全。在该多水印算法中,提出并使用了一种将密码学和常规的数字水印制作方法- - - 叠加法和量化调制法,有机结合起 来的新的方法,在水印嵌入时,不同的水印,生成与该水印相关的不同的密钥,在进行水印的提取时,用不同的密钥和待测的 图像提取出相应的水印。通过将密钥向第三方注册,可以获得对原始图像的所有权。-A robust multi-watermark embedding and de
EZW
- 多分辨率图像压缩，基于EZW嵌入式零树小波算法-Multi-resolution image compression, based on embedded zerotree wavelet EZW algorithm
waveann
- 小波神经网络，利用了小波多尺度变换特性，两者相互结合，简单易懂。-Neural network, using a wavelet multi-scale transform characteristics, the two combined, easy to understand.
matlab
- 基于小波变换的多尺度图像边缘检测matlab源代码-Based on multi-scale wavelet transform image edge detection matlab source code
GVF-Snake-model-
- ：通过对梯度矢量流(GVF)力场迭代和轮廓收敛过程中时间开销大、不能逼近较复杂轮 廓等不足之处的分析，提出了一种新的初始轮廓线的设置方法。基于小波变换的多尺度轮廓检测算 法，能够较精确地定位出各类轮廓，在此基础上设置的初始轮廓线能够非常好地靠近图像中的各种真 实轮廓。实验结果表明，此方法有效地缩小了搜索的范围，减少了GVF迭代次数，提高了轮廓收敛的 速度，并保留了GVF Snake模型的所有优点。-: The gradient vector flow (GVF) field it
bianyuantiqu
- 基于小波多尺度的边缘特征提取，用matlab实现-Edge based on wavelet multi-scale feature extraction achieved with matlab
mw_NBdenoising2
- 基于多小波变换的阈值降噪技术的相邻系数法降噪算法-Based on multi-threshold wavelet transform coefficients of adjacent noise reduction noise reduction algorithm
xiaobo_EGGxinhao
- 介绍了小波变化方法在EGG信号处理方面的应用例程，包括信号压缩和多分辨率的分析。-Introduced the wavelet transform method in the application of EGG signal processing routines, including signal compression and multi-resolution analysis.
dfd
- a尺度紧支撑插值正交多小波的平衡性a multi-scale compactly supported orthogonal interpolating wavelet balance-a multi-scale compactly supported orthogonal interpolating wavelet balance
A201004-1049
- 多N 值db 小波多分辨分解的电压闪变检测-N value than db wavelet multi-resolution decomposition of the voltage flicker detection
ARM
- 虹膜识别虹膜特征提取两种比较典型的方法— 多通道滤波 二维小波变换 -Iris Recognition Iris feature extraction two kinds of typical methods- multi-channel two-dimensional wavelet transform filter
LPM
- this coding is for multi resolution decomposition of images using daubechies wavelet
EdgeDetection
- 基于小波变换的图像多尺度边缘的提取，用MFC实现，可以设置不同的尺度参数和阈值-Wavelet-based multi-scale edge image extraction, using MFC, you can set a different scale parameters and thresholds
featureOfDWT
- Discrete Wavelet Transform，[1]离散小波变换是指在特定子集上采取缩放和平移的小波变换，是一种兼具时域和频域多分辨率能力的信号分析工具。此变换运用可以缩放平移的小波代替固定的窗进行计算分析，主要应用于信号编码和数据压缩-Discrete Wavelet Transform, [1] the discrete wavelet transform is adopted in a specific subset of the zoom and pan on the wavel
wave
- 经过小波变换的图像具有频谱划、方向选择、多分辨率分析和天然塔式数据结构特点。基于小波变换这些特性，讨论了MATLAB语言环境下图像压缩，图像去噪，图像融合，图像分解，图像增强的基本方法。-After wavelet transform spectrum delimits, image has direction choosing, multi-resolution analysis and natural tower structure characteristics data. Based o
xiaoboyuzhiquzao
- 小波阈值降噪的matlab代码 里面有两个程序 一个比较了软硬阈值去噪 另外一个对多层小波分解的阈值去噪做了对比-Wavelet threshold denoising matlab code there are two programs a relatively soft and hard thresholding is another multi-layer wavelet threshold denoising to do a comparison
zantaixinhaojiance
- 采用小波分解时域信号，通过多层分解，根据小波系数检测原信号中的暂态信号-Time-domain signal using wavelet decomposition, through multi-layer decomposition, the wavelet coefficients of the original signal in the detection of transient signals
A-crop-phenology-detection-method-using-time-seri
- Information of crop phenology is essential for evaluating crop productivity and crop management. Therefore we developed a new method for remotely determining phenological stages of paddy rice. The method consists of three procedures: (i) prescr ipt