Manish-TMM-(1)

ITTI视觉显著性检测MATLAB工具箱可用于检测图像视觉显著性(ITTI visual saliency detection MATLAB toolbox can be used to detect visual saliency of images)

利用霍夫变换检测直线，园，椭圆，曲线，简单有效，用用方便(Using Hough transform to detect straight lines, park, oval, curve, simple, effective, easy to use with)

最佳拼接线方法进行图像拼接，对学习图像拼接很有用处(The best method of splicing line image mosaic, image stitching is useful for learning)

两幅图像中有重叠部分，通过数字图像相关算法可以找到两幅图像相同的点(using matlab to match the corresponding piexls in the two images)

说明：  用VC实现数字减影算法，通过模板匹配，再对两幅图像相减，即用盈片中减去蒙片，从而实现突出血管区域的目的。【源码加文档说明】(Using VC to achieve digital subtraction algorithm, template matching, and then the subtraction of two images, that the film with surplus minus mask, in order to achieve the purpose of highlighting vascular region. 【Source】 plus documented)

1、对观测数据进行中心化，； 2、使它的均值为0，对数据进行白化—>Z； 3、选择需要估计的分量的个数m，设置迭代次数p<-1 4、选择一个初始权矢量（随机的W，使其维数为Z的行向量个数）； 5、利用迭代W(i,p)=mean(z(i,:).*(tanh((temp) *z)))-(mean(1-(tanh((temp)) *z).^2)).*temp(i,1)来学习W （这个公式是用来逼近负熵的） 6、用对称正交法处理下W 7、归一化W(:,p)=W(:,p)/norm(W(:,p)) 8、若W不收敛，返回第5步 9、令p=p+1，若p小于等于m,返回第4步 剩下的应该都能看懂了 基本就是基于负熵最大的快速独立分量分析算法(1, on the center of the observation data, 2, making a mean of 0, the data to whitening-> Z 3, select the number of components to be estimated m, setting the number of iterations p < -1 4, select an initial weight vector (random W, so that the Z dimension of the row vectors of numbers) 5, the use of iteration W (i, p) = mean (z (i, :).* (tanh ((temp) ' * z)))- (mean (1- (tanh ((temp)) ' * z). ^ 2)).* temp (i, 1) to learn W (This formula is used to approximate the negative entropy) 6 with symmetric orthogonal treatments W 7, normalized W (:, p) = W (:, p)/norm (W (:, p)) 8, if W does not converge, return to step 5 9 , so that p = p+1, if p less than or equal m, return to step 4 should be able to read the rest of the basic is based on negative entropy of the largest fast independent component analysis algorithm)

Hermite-Gaussian光束是一种独特的光束，可以作为图形处理中变化的基函数(The Hermite-Gaussian beam is a unique light beam can be used as the base function of the change in the graphics processing)

数字图像处理常见问题及编程技巧汇编。希望对这方面的学习者有所帮助(Data, the software architect exam is a comprehensive commo)

MRI 读入k空间数据调整中心并进行傅里叶变换显示图像(MRI k-space data is read into the center and adjust the display image Fourier transform)

说明：  基于粒子滤波的强大的跟踪算法,可以在背景变化情况子实现可靠的实时跟踪，并且配有相应的论文(particle filter)