全局Retinex彩色图像恢复，VC++实现好的效果，恢复…

老版本的分水岭算法程序，在有些情况下是需要的-Older versions of the watershed algorithm procedure, in some cases, it is necessary to

基于Arnold 变换的图像置乱Matlab 程序-Based on Arnold transform image scrambling Matlab procedures

zoran的一款数字电视,机顶盒方案的源程序应用,软件技术手册,厂家原文,全英文.-zoran" s a digital TV, set-top box application program source code, software, technical manuals, factory original, all in English.

粒子滤波器是基于序贯Monte Carlo仿真方法的非线性滤波算法,可以解决所以线性，非线性问题。-Particle Filter is based on sequential Monte Carlo simulation method of nonlinear filtering algorithms, can be solved so linear, nonlinear problems.

从一幅多个细胞的图像中，分割出单个的细胞，一个细胞一个小图。-more than one cell from the image, segmentation of individual cells, a cell a small map.

：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪 方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way.

利用3*3模板对图像进行中值滤波的matlab程序-using 3* 3 template on the image of the median filtering procedures Matlab

awimg=rgb2gray(im1) tic [accum, circen, cirrad] = CircularHough_Grd(rawimg, [20 30],5,50) circen toc figure(1) imagesc(accum) axis image title( Accumulation Array from Circular Hough Transform ) figure(2) imagesc(rawimg) colormap( gray ) axis image hold on plot(circen(:,1), circen(:,2), r+ ) for k = 1 : size(circen, 1), DrawCircle(circen(k,1), circen(k,2), cirrad(k), 32, b- ) end hold off title([ Raw Image with Circles Detected , ... (center positions and radii marked) ]) figure(3) surf(accum, EdgeColor , none ) a

用于图像分割的matlab程序工具包！！里边有很多种方法-Matlab program for image segmentation tool kit! ! There are many ways inside。。

采用各向异性方法 填补一个缺损的轮廓，从而可以得到一个光滑完整的轮廓。- Completed contours correspond to ridges of an extension (ext) of the characteristic function of the uncompleted curve. Anisotropic extension is performed on the characteristic function fbound of an image set given by the binary map boundary to the whole image domain. Extension is initially driven by xi=(EigVect{1}, EigVect{2}) (which should match with the contour tangent direction) computed as the direction of maximum coherence of the distance map to the contour to close. It is updated every N iterations with DCV over the distance map to the ridges/thinning of the evolved image. Two different stop criteria are supported: Number of Connected Components ( numcomp ). Contour Completion. Stop when the extended contour (curve of level 1) has exactly Ncomp connected components. Difference between two consecutive iterations ( tol ) Speed Stabilizes ( speed_stab ). [extended]=ContourComple