ImageProcessing

遥感图像的色彩变换 能从IHS转换到RGB 并能从RGB转换到HIS 效果比较好(Remote sensing images from the IHS color transform to the RGB and the conversion from RGB to HIS conversion effect is better)

利用多线程技术把数据处理模块和图像显示模块分离，实现视频监控功能。(The use of multi-threading technology to data processing and image display module separation module for video monitoring.)

根据相机的指向数据，实现对亮星星表9110颗星在探测器上的模拟投影，得到序列星图(According to the data of the camera, to achieve the Bright Star Catalogue 9110 stars on the detector simulation projection to obtain sequence star map)

基于环形颜色直方图的图像检索算发，比传统方法好用的多(Annular color histogram-based image retrieval count hair, easy to use than the more traditional methods)

介绍活动轮廓模型的原理，根据作者原创论文编写的matlab程序。(Introduces the principle of active contour model, according to the author of the original paper writing in matlab.)

说明：  matlab编写的对极几何约束算法，用来剔除角点跟踪过程中的离散点(matlab prepared for a very geometric constraint algorithm, used to remove corner to track discrete points in the process of)

说明：  图像特征提取，有SIFT、BOW、VLAD、LBP、HOG、FishVector、gist、Metric、colorhist。(Image feature extraction, including SIFT, BOW, VLAD, LBP, HOG, FishVector, gist, Metric, colorhist.)

利用MATLAB进行血管的三维图像重建,充分利用了matlab对大量图片的处理能力(The use of MATLAB to carry out three-dimensional image reconstruction of blood vessels, matlab full advantage of the large number of image processing capability)

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)

基于HOUGH变换的车道线检测和识别的程序，可以使用(Lane HOUGH transform detection and recognition based on the program, you can use)