Doc1

基于分数阶微分的图像增强技术，代码可以根据图像的梯度信息，更好地增强图像的高频部分，非线性地保留低频部分。(Fractional differential enhancement technology-based image code according to the gradient information of the image can better enhance the high frequency part of the image, to retain the low-frequency part of the non-linear.)

这是我们自己做的一套投影仪标定程序，反投影精度在1个象素之内(This is to do our own set of projector calibration procedures, back-projection at a pixel accuracy of)

我改写后的graphbrian类，原本支持柱状图饼图和折线图的，现在添加了对这些图的风格调整，主要是增加了调整绘图区背景色和文本背景的功能，还增加了把图片保存为bmp文件的功能，以便用其他软件方便的打印。(I would then graphbrian category, which originally supported the pie chart histogram and line graph, and now added to adjust the style of these plans, the main adjustment is to increase the drawing area background color and text background function, but also an increase of the picture saved as bmp files, in order to use other software to facilitate printing.)

一种区域生长算法，用于图像分割。自动选择种子点。(A Region Growth Algorithm for Image Segmentation)

为数字图像水印提供多种攻击方式，其中包括JPEG压缩、高斯低通滤波等多达十种攻击方式。(Offers a variety of attacks of digital watermarking ,including the jpeg compression, Gaussian low-pass filtering, up to ten different attacks)

说明：  calibration摄像机镜头的校正程序(calibration Calibration camera lens calibration procedure)

图像处理基础、图像运算、图像编码、图像变换、图像增强、图像复原、图像的分割、图像数学形态学处理和小波图像处理(The basis of image processing, image computing, image coding, image transformation, image enhancement, image restoration, image segmentation, image mathematical morphology and wavelet image processing)

自动匹配下拉列表框中的内容,根据所选下拉列表框的不同去加载不同的名片(Automatic matching of the drop-down list box in the content, according to the selected drop-down list box is different to load a different card )

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为OMP算法，对256*256的lena图处理，比较原图和OMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and OMP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using OMP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值！！( ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techniques are available: - Principal Component Analysis ( PCA ) - Linear Discriminant Analysis ( LDA ) - Multidimensional scaling ( MDS ) - Probabilistic PCA ( ProbPCA ) - Factor analysis ( FactorAnalysis ) - Sammon mapping ( Sammon ) - Isomap ( Isomap ) - Landmark Isomap ( LandmarkIsomap ) - Locally Linear Embedding ( LLE ) - Laplacian Eigenmaps ( Laplacian ) - Hessian LLE ( HessianLLE ) - Local Tangent Space Alignment ( LTSA ) - Diffusion maps ( DiffusionMaps ) - Kernel PCA ( KernelPCA ) - Generalized Discriminant Analysis ( KernelLDA ) )