FCRN-DepthPrediction-master

说明：  本程序基于Matlab,初步实现图像增强的基本操作,实现 图像明暗度调整， 图像旋转，更改颜色显示方式，直接灰度调整，图像求反，动态范围压缩，显示原始图像直方图，直方图均衡化，滤波增强等功能(This procedure based on Matlab, the initial realization of the basic operation of image enhancement, image brightness adjustment, image rotation, change the color display, direct gray-scale adjustment, for anti-image, dynamic range compression, display the original image histogram, histogram equalization , enhanced features such as filtering)

自己编写的关于2013年的文章 a variational method for multi-source remote-sensing image fusion 的程序，基本实现了相关功能。(I have written a progrma about a variational method for multi-source remote-sensing image fusion publish in 2013,and the basic functions of the problems have been solved.)

本文介绍了一种测量大气能见度的方法，双亮度差法，代码中给出了详细的注释，并且包括OSTU方法等等(In this paper, a measuring method of atmospheric visibility double brightness difference method, the code is given detailed annotations, and including the OSTU method and so on)

这是我花了很多时间收集的有关sift-pca资料哦，里面也包括了sift-pca的MATLAB代码(This is what I spent a lot of time to collect information about the sift-pca Oh, which also includes a sift-pca MATLAB code)

说明：  图像的Laplace金字塔分解与重构算法。(Laplacian pyramid decomposition and reconstruction of image. )

Matlab版改进的sobel算子边缘检测算法，有效减少边缘断点(Matlab version improved sobel operator edge detection algorithm is effective in reducing edge break)

该Matlab程序能够去除CT扫描得到的图像的环形伪影(The Matlab program is capable of removing ring artifacts from images obtained by CT scans)

基于内容的CNN图像检索，编写语言为matlab(CNN Image Retrieval, matlab)

摘　要:舌象中的裂纹是中医舌诊中的重要内容。由于拍摄条件的不同,舌象质量有较大差异,传统的阈值选取方法并不 适用。文中提出一种舌象裂纹检测的自适应阈值选择方法。该方法利用舌象的L 3 a 3 b 色彩特征及区域的分裂- 合并, 对舌象进行区域分割,自适应地选取舌中部区域的色彩值作为阈值,对整个舌象进行裂纹提取。经验证,本方案对不同的 舌象能较好地提取出裂纹,实现舌象裂纹诊断的客观化。(Tongue’ s crack is a very important part of herbalist doctor diagnosis. For the different screen conditions , there are many differ2 ences on the tongue’ s quality. It is not effective to use the t raditional threshold ext raction algorithm. In order to solve this problem , pro2 pose a new adaptive threshold algorithm. Present the segmentation of the image of tongue by using the feature on tongue in the L 3 a 3 b color space and the split- combining algorithm. Then use the threshold , which is the color value ext racted automatically in the middle of the tongue , to detect the crack of the whole tongue. The experiments show that this approach is able to distill the crack effectively to different tongue images , and achieve the objectivity of the diagnosis based on the tongue’ s crack.)

二维最大熵阈值分割法，较一维有很好的去噪效果(Two-dimensional maximum entropy threshold segmentation method, the more one-dimensional results have a good de-noising)