搜索资源列表
Wavelets-in-Medical-Image-Processing
- Wavelet transforms and other multi-scale analysis functions have been used for compact signal and image representations in denoising, compression and feature detection processing problems for about twenty years. Numerous research works have proven th
ronghe2133
- 小波变换在多尺度下检测分解重构图像，以及融合边缘算法。-Under the multi-scale wavelet decomposition of the reconstructed image detection, and edge fusion algorithm.
Voting-strategy
- 本文提出了一种由粗到细的图像配准方法。该方法首先由多尺度Harris角点检测 算法提取出参考图像和目标图像的特征角点-This paper presents a coarse-to-fine image registration methods. In this method, the multi-scale Harris corner detection algorithm to extract the reference image and the target image featur
total
- matlab基于小波变换，进行图像多尺度分析，提取各尺度下的图像信息。 -Based on wavelet transform for image multi-scale analysis to extract the scale of the image information.
9
- 由于选用部分Hausdorf距离进行图像匹配时不能满足较大尺寸图像匹配实时性要求，利用了多级分层匹配技术加速图像匹配，本文提出了多级实时图像匹配算法，该算法以部分Hausdorf距离为图像匹配相似性度量，结合小波变换多分辨率思想提取多尺度图像特征，实现了由粗到精多级分层实时匹配。-As part of the Hausdorf distance used for image match the larger size can not meet the requirements of real-t
tv_curvelet
- 近几年的有关偏微分和多尺度几何变换结合去噪增强的一些经典论文。-In recent years, the relevant partial differential and multi-scale geometric transform some of the classic combination of edge enhancement thesis.
wavelet-matlab
- 基于小变换，以及边缘融合算法的图像边缘检测算法。包含了在多尺度下层层检测分解重构图像-Based transformations, and the edge of fusion algorithm for image edge detection algorithm. Contains layers of detection in multi-scale decomposition of the reconstructed image
detection
- 形态学多结构元多尺度的自适应边缘检测detection-Multi-structuring elements morphological adaptive multi-scale edge detection
Kalmion
- Kalman滤波的数据处理多尺度融合算法Kalman filter algorithm for data processing multi-scale fusion-Kalman filter algorithm for data processing multi-scale fusion
wavelete
- 对一维信号和而为图像的小波分解程序，包括单尺度分解和多尺度分解，未利用MATLAB中自带函数，完全自己实现-Signal and the one-dimensional wavelet decomposition of the image process, including single-and multi-scale decomposition decomposed using MATLAB, comes not function completely on my own to achiev
image-enhancement
- 图像的增强，运用了多尺度的直方图的图像增强原理-mage enhancement，Using multi-scale histogram image enhancement principle
ection
- 基于模糊增强的小波多尺度边缘特征提取Fuzzy Enhancement Based on Wavelet Multi-scale edge detection-Fuzzy Enhancement Based on Wavelet Multi-scale edge detection
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.
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.
contourlet
- Contourlet变换是一种新的图像二维表示方法，具有多分辨率、局部定位、多方向性、近邻界采样和各向异性等性质，其基函数分布于多尺度、多方向上，少量系数即可有效地捕捉图像中的边缘轮廓，而边缘轮廓正是自然图像中的主要特征。-Contourlet image transformation is a new two-dimensional representation, with multi-resolution, local orientation, multi-directional, neig
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
ridgelet_transform
- 用matlab编程实现了ridgelet多尺度变换，实现了图像的解析，重构，压缩等功能-Ridgelet with matlab programming a multi-scale transformation to achieve the image resolution, reconstruction, compression and other functions
USFFTCurvelet
- 提出了一种结合USFFT Curvelet 变换的各向异性扩散图像去噪模型。它有机结合了Curvelet 变换和各向 异性扩散（P-M扩散）两者的优点。通过P-范数方法选择合适的梯度阈值K，P-M扩散过程通过处理经过Curvelet 变换得到的图像的不同尺度的Curvelet 系数矩阵，实现了建立在对图像多尺度分析的基础上的新P-M扩散模型。 实验表明，新模型的处理结果能有效避免传统P-M 扩散出现的阶梯效应，同时更好地保留图像的纹理和细节。 关键词：图像去噪算法；各向异性扩散；
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
based-on-watermarking--HVS
- 该文提出了一种新的静态图像水印技术,它基于人眼视觉系统模型,利用了 图像的多尺度融合技术,可将任意的图像水印添加到载体图像中-This paper presents a new static image watermarking technology, which is based on human visual system model, using multi-scale image fusion technology, any image can be added to the car