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program3
- 二阶B样条小波边缘检测 处理后的图像为多尺度下的边缘检测图像 还需要进行边缘图像的匹配-Second-order B-spline wavelet edge detection image processing for multi-scale edge detection to the edge of the image also need to match image
TE-model
- 化工过程TE平台多尺度PCA建模程序,适用于微小扰动的检测-TE platform for chemical process modeling procedures for multi-scale PCA, applied to the detection of minor disturbances
MSA_moment
- 运用多尺度自卷积计算图像的仿射不变矩的方法,该方法新颖,具有一定的创新性-Using multi-scale image from the convolution calculation of affine invariant moment method, which is novel, has some innovative
mulscal_edge
- 通过多尺度小波变换获取图像边缘的软件包,可以用来分割图像-Through a multi-scale wavelet transform to obtain the image edge of the package
NLOS
- 该程序是在基于Haar小波的多尺度NLOS抑制算法研究中不同的NLOS环境不同分布的RMSE图及数据程序。-The program is based on the Haar wavelet multi-scale algorithm for NLOS inhibit the different NLOS environments with different distributions of the RMSE map and data program.
test_departs
- 工作在图像特征提取。这里采用多尺度图像分析方法,将轮廓分解投影。-Work in the image feature extraction. Here the multi-scale image analysis method to decompose projection contour.
Nonsampling_Contourlet
- 非下采样contourlet变换是一种较新的多尺度几何分析方法,能够很好地描述信号的线奇异特征,具有多方向滤波器组。-Nonsubsampled contourlet transform is a relatively new method of multiscale geometric analysis, can well describe the signal characteristics of the line singularity, with multi-directional fi
Wavelet
- 使用二次样条小波的多尺度小波分解及重构算法,为非抽样小波-wavelet transform using quadratic spline wavelet filters
03
- 上下文分割算法EM 算法,相当经典。是基于小波域隐马尔可夫模型的多尺度图像分割。-Context of the EM segmentation algorithm, very classic. Is based on wavelet domain hidden Markov model multi-scale image segmentation.
04
- 根据遥感图像纹理所呈现的多尺度特性和随机的特性,采用基于小波域 隐马尔可夫树模型对纹理进行分析,并有机地结合遥感图像的要求和特点进行深入研究。 -According to remote sensing image texture features presented and random multi-scale features, based on wavelet domain hidden Markov tree model for texture analysis, and the
zhengqiang
- 利用二维小波的图像增强 基于小波变换的多尺度图像边缘检测matlab源代码(在Matlab7.0下运行) -Using two-dimensional wavelet image enhancement based on wavelet transform multi-scale edge detection matlab source code (in Matlab7.0 run)
contourlet_toolbox
- 多尺度几何分析contourlet工具,包括去噪演示-Contourlet geometric analysis tools, including Noise Demo
clearall
- 这个程序是基于小波变换的边缘检测MATLAB程序,是多尺度方法检测数字图像的边缘 -This procedure is based on the MATLAB wavelet transform edge detection procedure is used to detect multi-scale digital image of the edge
MSA
- 仿射不变特征提取 多尺度自卷积方法-The Multi-Scale Autoconvolution (MSA) method offers a novel way of approaching this problem. The method provides affine invariant features with only moderate computational complexity and does not require any other segmentation steps
localmax-expri
- 多尺度分解图像,利用小波的模极大值获取图像的边缘特征,并绘图-Multi-scale decomposition of the image, the wavelet modulus maximum to obtain the image edge features, and drawing
RETINEX
- 本源码是基于多尺度的retinex理论的实现代码,针对灰度和彩色图像均可使用!! -The source is based on the theory of multi-scale retinex implementation code for gray and color images can be used! !
FusionSegmentationAlgorithm
- 针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向 异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚 集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和 MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
Retinex
- 彩色图像的多尺度Retinex算法,MSR算法,算法直接可用-Multi-scale Retinex color image algorithms, MSR algorithm, the algorithm can be used directly
Cdenoise
- Contourlet去噪的程序。实现了图像的多尺度分解下的去噪与重建。-Denoising procedure Contourlet
originalcodes
- 多尺度LBP的原代码,用于人脸识别,在orl数据库中的识别率达97 以上。-Multi- scale LBP original code, used in face recognition and the recognition rate of over 97 in orl database.