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[Special Effects] fus_segmentmain DL : 0: 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 morphology reconstruction wat ershed% main program
Date : 2008-10-13 Size : 1.23kb User : li mingxi
[Special Effects] localnormalize DL : 0: 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 Gaussian kernel with sigma1 and sigma2 respectively. Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn) at Tsinghua University, Beijing, China. Inspired by the link: http://bigwww.epfl.ch/demo/jlocalnormalization/
Date : 2008-10-13 Size : 1.42kb User : xj
[Special Effects] adaptive_framing DL : 0: 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 Feature: You can use your own images of ANY SIZE for making your own picture frames, therefore the name - FRAME MAKER . All this is possible because the bordering image adapts itself to main image and in the last stage the frame formed by the bordering image is again adapted to the main image, therefore the name - ADAPTIVE FRAMING . -Use your own images to make picture frames T he program adpframe.m makes picture frames and then frames an image using that frame. Some patt erns are provided in the zipped file, which can be used to make frames and then frame im ages. Special Feature : You can use your own images of ANY SIZE for making your own picture frames. therefore the name-FRAME MAKER. All this is pos sible because the bordering image adapts itsel f to main image and in the last frame for the stage med by the bordering image is again adapted to th e main image, therefore the name-adaptive FRAMING.
Date : 2008-10-13 Size : 468.65kb User : xj
[Special Effects] fus_segmentmain DL : 0: 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 morphology reconstruction wat ershed% main program
Date : 2025-12-24 Size : 1kb User : li mingxi
[Special Effects] localnormalize DL : 0: 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 Gaussian kernel with sigma1 and sigma2 respectively. Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn) at Tsinghua University, Beijing, China. Inspired by the link: http://bigwww.epfl.ch/demo/jlocalnormalization/ -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 Gaussian kernel with sigma1 and sigma2 respectively.Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn) at Tsinghua University, Beijing, China. Inspired by the link: http://bigwww.epfl.ch/demo/jlocalnormalization/
Date : 2025-12-24 Size : 1kb User : xj
[Special Effects] adaptive_framing DL : 0: 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 Feature: You can use your own images of ANY SIZE for making your own picture frames, therefore the name - FRAME MAKER . All this is possible because the bordering image adapts itself to main image and in the last stage the frame formed by the bordering image is again adapted to the main image, therefore the name - ADAPTIVE FRAMING . -Use your own images to make picture frames T he program adpframe.m makes picture frames and then frames an image using that frame. Some patt erns are provided in the zipped file, which can be used to make frames and then frame im ages. Special Feature : You can use your own images of ANY SIZE for making your own picture frames. therefore the name-FRAME MAKER. All this is pos sible because the bordering image adapts itsel f to main image and in the last frame for the stage med by the bordering image is again adapted to th e main image, therefore the name-adaptive FRAMING.
Date : 2025-12-24 Size : 468kb User : xj
[Special Effects] quyu-fusion DL : 0: 基于区域的小波变换融合方法，主要是基于区域能量、区域方差、区域最大这几种方法。-Region-based wavelet transform fusion method is mainly based on regional energy, regional variance, the largest in this region several ways.
Date : 2025-12-24 Size : 1kb User : lieutenant
[Special Effects] myimagefusion DL : 0: 我一个师兄毕业是编写的图像融合程序,一定有人需要的-I am a senior graduating from the preparation of the image fusion procedure, a certain someone in need
Date : 2025-12-24 Size : 1.2mb User : 龚振宇
[Special Effects] AffineTransformation DL : 1: 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] = diffusion_kernel_function (gx, gy, im) gx, gy for x, y direction of the partial derivative of Z is out to restore the depth of information. Function adapted from the image information to resume a high degree of information law
Date : 2025-12-24 Size : 1kb User : chengyue
[Special Effects] right_side_left.tar DL : 0: upside-down lena.im right-side-left lena.im diagonally mirrored lena.im
Date : 2025-12-24 Size : 1kb User : brian
[Special Effects] noiseonf.m DL : 0: 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 = 1/(f^factor) factor = 0 - raw Gaussian noise image = 1 - gives the 1/f `standard drop-off for `natural images = 1.5- seems to give the most intersting `cloud patterns = 2 or greater- produces `blobby images .
Date : 2025-12-24 Size : 1kb User : 留云
[Special Effects] imge_dispose DL : 0: 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
Date : 2025-12-24 Size : 2.01mb User : 余林枫
[Special Effects] xihua DL : 0: 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.
Date : 2025-12-24 Size : 1kb User : xujin
[Special Effects] omt_cs DL : 0: 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)
Date : 2025-12-24 Size : 49kb User : lee
[Special Effects] Color-segmentation-based-on-Gabor-filtering-and-im DL : 0: 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
Date : 2025-12-24 Size : 333kb User : huay163
[Special Effects] adjcontrast DL : 0: 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 actual contrast A value of about 5 is neutral (little change). A value of 1 reduces contrast to about 20 of original A value of 10 increases contrast about 2.5x. a reasonable range of values to experiment with. cutoff- represents the (normalised) grey value about which contrast is increased or decreased. An initial value you might use is 0.5 (the midpoint of the greyscale) but different images may require different points of the greyscale to be enhanced. Peter Kovesi School of Computer Science & Software Engineering The University of Western Australia pk @ csse uwa edu
Date : 2025-12-24 Size : 1kb User : kakarot
[Special Effects] adjgamma DL : 0: 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 range 0-1 enhance contrast of bright regions, values > 1 enhance contrast in dark regions. Peter Kovesi School of Computer Science & Software Engineering The University of Western Australia pk @ csse uwa edu au http://www.cs.uwa.edu.au/~pk July 2001 function newim = adjgamma(im, g) if g <= 0 error( Gamma value must be > 0 ) end if isa(im, uint8 ) newim = double(im) else newim = im end rescale range 0-1 newim = newim-min(min(newim)) newim = newim./max(max(newim)) newim = newim.^(1/g) Apply gamma function
Date : 2025-12-24 Size : 1kb User : kakarot
[Special Effects] Feature-tracking DL : 0: 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 ive f ram es. A f ram e2to2mo saic algo rithm (FMA ) fo rmo2 t ion compen sat ion is described. The p ropo sed algo rithm is ab le to compen sate the mo t ion by fu s2 ing the mo t ion of the cu rren t f ram e w ith that of the p reviou s f ram es. Experim en tal resu lt s show it s effect ive and po ten t ial app licat ion s
Date : 2025-12-24 Size : 294kb User : 尹钊
[Special Effects] pipei DL : 0: 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.
Date : 2025-12-24 Size : 25kb User : 张玉兵
[Special Effects] BFPS_v1_2011-09-06 DL : 0: 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 the following command: >> BFPS(double(imread( im.jpg )), 2, 1, 1, 0, 1) For faster density estimates in non-parametric image segmentation, the fast Gauss transform can be used in place of Matlab s ksdensity function. Copyright 2011. MIT. All Rights Reserved.
Date : 2025-12-24 Size : 126kb User : 馬英九

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