搜索资源列表
fus_segmentmain
- 图像分割源程序 通过融合处理，％ image segmentation based on multispectral image fusion ％ and morphology reconstruction watershed ％ main program -image segmentation source through fusion, % image segmentation based on multispectral im age fusion% and morphol
localnormalize
- LOCALNORMALIZE A local normalization algorithm that uniformizes the local mean and variance of an image. ln=localnormalize(IM,sigma1,sigma2) outputs local normalization effect of image IM using local mean and standard deviation estimated by Gaus
adaptive_framing
- Use your own images to make picture frames The program adpframe.m makes picture frames and then frames an image using that frame. Some patterns are provided in the zipped file, which can be used to make frames and then frame images. Special Fe
把图片在OPENCV中进行滤镜处理
- 把图片在OPENCV中进行滤镜处理，浮雕，雾化，有详细的算法,The picture in the filter in OPENCV treatment, relief, atomization, the algorithm in detail
xihua.rar
- 细化。通过MATLAB对图像进行细化提取骨架处理，从而方便进行下一分析,Refinement zs appises the Zhang-Suen skeletonization algorithm to image IM. IM must be binary.
AffineTransformation
- 仿射变换法求深度信息，目前最好的方法 function [Z,D11,D12,D22] = diffusion_kernel_function(gx,gy,im) gx,gy 为x,y方向偏导数 Z 为恢复出来的是深度信息。 函数适应于从 图像法相信息恢复高度信息-Affine transformation method the depth of information, is currently the best way to function [Z, D11, D12, D22
right_side_left.tar
- upside-down lena.im right-side-left lena.im diagonally mirrored lena.im
noiseonf.m
- 创建一幅1/f谱的噪声图象,输入参数:size,创建图象的大小 factor:调整谱spectrum = 1/(f^factor),factor = 0原始高斯噪声图象,1自然噪声,1.5 云状噪声,>=2,类似血液. -Creates 1/f spectrum noise images. im = noiseonf(size, factor) - size of image to produce factor- controls spectrum
omt_cs
- UIG 读取一个图片 [filename,pathname]=uigetfile({ *.jpg *.bmp *.gif }, 选择图片 ) 合成路径+文件名 str=[pathname filename] 读取图片 im=imread(str) 使用第一 axes axes(handles.axes2) 显示图片 imshow(im)-axes(handles.axes2)
Color-segmentation-based-on-Gabor-filtering-and-im
- 基于肤色分割和改进Gabor滤波相结合的人脸检测 基于肤色分割和改进Gabor滤波相结合的人脸检测-Color segmentation based on Gabor filtering and improved face detection combined
adjcontrast
- 图像预处理中的图像去噪声，滤波器的程序，能把带噪声的图像还原，敬请关注- ADJCONTRAST- Adjusts image contrast using sigmoid function. function g = adjcontrast(im, gain, cutoff) Arguments: im - image to be processed. gain - controls the a
adjgamma
- 图像预处理-图像去噪方面-滤波器-matlab的实现程序，非常清晰- ADJGAMMA- Adjusts image gamma. function g = adjgamma(im, g) Arguments: im - image to be processed. g - image gamma value. Values in the r
Feature-tracking
- 根据摄像机透视投影模型, 通过提取特征点进行摄像机的运动估计, 提出一种基于FMA的补偿方法Z该方法针对图像连续帧间晃动幅度较大的情况, 通过均值滤波合成当前帧及其前几帧的运 动进行补偿。-A mo t ion model is p resen ted to est im ate the mo t ion param eters fo r im age stab ilizat ion by t rack ing featu re po in t s f rom con secu t iv
pipei
- 在主图像中能找出模板图像中的图形（蝴蝶为例）-find butterfly in the query im age according to the butterfly feature revealed in a sample image.
BFPS_v1_2011-09-06
- This readme describes the Biased and Filtered Point Sampling algorithm. Before running the code, please run "compile_MEX.m" in the "dependent_files" directory. BFPS.m is the main file that draws samples. A demo can be run from Matlab with t
Image-Segmentation
- 本文章是一个基于信息论的图像分割算法，很值得做图像处理研究方面的同学参考学习。-In this paper, aninformation theoretic frameworkfor im-agesegmentationis presented. Thisapproachis basedon the information channelthat goesfromthe image intensity histogramto the regionsofthe partitionedima
improved_sigma_filtering
- 改进lee滤波源码，里面有im是原图 nim是噪声图像
monofilt
- MONOFILT - Apply monogenic filters to an image to obtain 2D analytic signal Implementation of Felsberg s monogenic filters Usage: [f, h1f, h2f, A, theta, psi] = ... monofilt(im, nscale, minWaveLength, mult, sigmaOnf, orientWrap)
Gupta_CVPR12
- CVPR2012_oral Micro Phase Shifting-We consider the problem of shape recovery for real world scenes, where a variety of global illumination (in- terreflections, subsurface scattering, etc.) and illumi- nation defocus effects are present. These
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- 为对图像的缺损部分进行快速自动修复, 提出了一种基于曲率驱动修复模型的快速图像修复算法。曲率驱动修复模 型由于引入了曲率项, 使其偏微分方程为高阶, 修复时需要数值求解偏微分方程, 大量迭代运算导致修复速度非常缓慢。为 加快修复速度, 算法将模型的偏微分方程数值化, 进一步改造成加权平均形式, 利用邻近已知像素直接合成损坏像素, 加权 系数由曲率和梯度共同确定, 使修复按照图像等照度线方向进行, 在曲率大的地方将等照度线拉伸, 同时由待修复点邻域内 已知像素的梯度方差确定修复次序