ROC--AUC

基于双目视觉的三维重建，包含了重建过程中的基本步骤。(Binocular vision-based three-dimensional reconstruction, including the reconstruction of the basic steps of the process.)

说明：  利用红黑小波进行图像去噪，图像复原，并与常规的小波进行比较(use red, black and wavelet denoising images, image recovery, and with the conventional comparison of wavelet)

使用规定分布生成空间随机噪声，可以选择噪声类型和参数。(Using the prescribed distribution to generate spatial random noise, we can choose noise types and parameters.)

说明：  在matlab环境下对视频中的运动目标进行检测，动态目标检测(In the MATLAB environment, the moving object detection in the video, dynamic object detection)

采用近邻插值和双线性插值两种插值方法，对图像进行放大处理。(Neighbor interpolation and bilinear interpolation using two kinds of interpolation methods to enlarge the image processing.)

建立一个透明物体上有污点的模型，可以模拟玻璃上有污点的图象(Rendering of clean transparent objects has been well studied in computer graphics. However, real-world transparent objects are seldom clean—their surfaces have a variety of contaminants such as dust, dirt, and lipids. These contaminants produce a number of complex volumetric scattering effects that must be taken into account when creating photorealistic renderings. In this paper, we take a step toward modeling and rendering these effects. We make the assumption that the contaminant is an optically thin layer and construct an analytic model following results in radiative transport theory and computer graphics. Moreover, the spatial textures created by the different types of contamination are also important in achieving visual realism. To this end, we measure the spatially varying thicknesses and the scattering parameters of a number of glass panes with various types of dust, dirt, and lipids. We also develop a simple interactive synthesis tool to create novel instances of the me)

自动种子区域生长代码，用MATLAB运行，不必选择种子点 可以自动选择阈值 实现图像分割！(The automatic seed region growing code, run, do not have to select seed point can automatically select the threshold image segmentation using MATLAB)

说明：  基于分水岭变换的浮选泡沫图像分割基于分水岭变换的浮选泡沫图像分割(GOODGOODGOODGOODGOODGOODGOODGOOD)

一种有效的全景图拼合预处理算法.适用于图像的拼接。是论文！(An effective pre-processing algorithm together panorama. Splicing applied to images. Is a thesis!)

利用已有真实场景色彩图片转换为灰度图像，实现SAR成像处理，(Use of existing real scene color images converted to grayscale images, the SAR imaging processing)