特征检测与匹配

利用Hough变换，可以检测图像中的多条线段，效果很好(using hough transform for line detection)

说明：  联合特征选择和子空间相关性学习的跨模态检索，map优于典型相关性分析的跨模态检索(Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval)

实现了计算机全息图制作和再现，而且再现图片效果良好(A value of two LohmanIII coded images detour phase hologram, by testing the normal operation. The result with image, hologram, and reproducing figure three part.)

巴特沃斯低通滤波器的C语言实现原理以及程序，对理解滤波器原理有很好的帮助(Butterworth low-pass filter, and a program in C language implementation principle for understanding the principles of good help filter)

应用harris算子进行角点检测，然后利用相关性检测得到匹配焦点，然后进行图像的重采样，适于对于彩色图像的处理，对于灰度图像，只要将harris算子检测时的图像从彩色道灰度图像的语句去掉即可(Application of operator harris corner detection, and then make use of relevant test match to be the focus, and then carried out resampling images, suitable for color image processing, for gray-scale images, as long as the operator will harris Detect when the image from color Road gray-scale images can be removed from the statement)

数字全息图聚焦评价函数,当图像聚焦时，评价函数值会达到最大值(the auto-focusing evaluation function of the digital hologram)

利用python和opencv拼接两张图片(Splicing two pictures using Python and opencv)

Image Fusion With Guided Filtering基于向导滤波的图像融合。将图像分解成基础层和细节层，用一种新型的滤波融合图像，使融合效果更显著更高效。(The image is decomposed into a base layer and layer of detail, the fused image with a new filter, the fusion effect is more pronounced and more efficient.)

给予matlab的图像分割例程，内附相关图片及程序。(Image segmentation routine MATLAB, containing the relevant pictures and program. )

高光谱图像的分类，适合各种光谱数据或者RGB图像。只需要调整输出路径就好了。(Hyperspectral image classification, for a variety of spectral data or RGB images. Only you need to adjust the output path just fine.)